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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2210.15731 | Domenico Tortorella | Domenico Tortorella, Alessio Micheli | Beyond Homophily with Graph Echo State Networks | Accepted for oral presentation at ESANN 2022 | Proceedings of the 30th European Symposium on Artificial Neural
Networks, Computational Intelligence and Machine Learning (ESANN 2022), pp.
491-496 | 10.14428/esann/2022.ES2022-58 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Echo State Networks (GESN) have already demonstrated their efficacy and
efficiency in graph classification tasks. However, semi-supervised node
classification brought out the problem of over-smoothing in end-to-end trained
deep models, which causes a bias towards high homophily graphs. We evaluate for
the first... | [
{
"created": "Thu, 27 Oct 2022 19:25:56 GMT",
"version": "v1"
}
] | 2022-10-31 | [
[
"Tortorella",
"Domenico",
""
],
[
"Micheli",
"Alessio",
""
]
] | Graph Echo State Networks (GESN) have already demonstrated their efficacy and efficiency in graph classification tasks. However, semi-supervised node classification brought out the problem of over-smoothing in end-to-end trained deep models, which causes a bias towards high homophily graphs. We evaluate for the first t... |
2404.00494 | Nathaniel Dennler | Nathaniel S. Dennler, Mina Kian, Stefanos Nikolaidis, and Maja
Matari\'c | Designing Robot Identity: The Role of Voice, Clothing, and Task on Robot
Gender Perception | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Perceptions of gender are a significant aspect of human-human interaction,
and gender has wide-reaching social implications for robots deployed in
contexts where they are expected to interact with humans. This work explored
two flexible modalities for communicating gender in robots--voice and
appearance--and we studi... | [
{
"created": "Sat, 30 Mar 2024 23:27:39 GMT",
"version": "v1"
}
] | 2024-04-02 | [
[
"Dennler",
"Nathaniel S.",
""
],
[
"Kian",
"Mina",
""
],
[
"Nikolaidis",
"Stefanos",
""
],
[
"Matarić",
"Maja",
""
]
] | Perceptions of gender are a significant aspect of human-human interaction, and gender has wide-reaching social implications for robots deployed in contexts where they are expected to interact with humans. This work explored two flexible modalities for communicating gender in robots--voice and appearance--and we studied... |
2002.03736 | Yaozu Ye | Yaozu Ye, Kailun Yang, Kaite Xiang, Juan Wang and Kaiwei Wang | Universal Semantic Segmentation for Fisheye Urban Driving Images | SMC2020 recieved | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semantic segmentation is a critical method in the field of autonomous
driving. When performing semantic image segmentation, a wider field of view
(FoV) helps to obtain more information about the surrounding environment,
making automatic driving safer and more reliable, which could be offered by
fisheye cameras. Howev... | [
{
"created": "Fri, 31 Jan 2020 11:19:00 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Aug 2020 13:02:09 GMT",
"version": "v2"
}
] | 2020-08-25 | [
[
"Ye",
"Yaozu",
""
],
[
"Yang",
"Kailun",
""
],
[
"Xiang",
"Kaite",
""
],
[
"Wang",
"Juan",
""
],
[
"Wang",
"Kaiwei",
""
]
] | Semantic segmentation is a critical method in the field of autonomous driving. When performing semantic image segmentation, a wider field of view (FoV) helps to obtain more information about the surrounding environment, making automatic driving safer and more reliable, which could be offered by fisheye cameras. However... |
2001.01469 | Vishwanath D | Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh
Vig | TableNet: Deep Learning model for end-to-end Table detection and Tabular
data extraction from Scanned Document Images | null | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the widespread use of mobile phones and scanners to photograph and
upload documents, the need for extracting the information trapped in
unstructured document images such as retail receipts, insurance claim forms and
financial invoices is becoming more acute. A major hurdle to this objective is
that these images ... | [
{
"created": "Mon, 6 Jan 2020 10:25:32 GMT",
"version": "v1"
}
] | 2020-01-07 | [
[
"Paliwal",
"Shubham",
""
],
[
"D",
"Vishwanath",
""
],
[
"Rahul",
"Rohit",
""
],
[
"Sharma",
"Monika",
""
],
[
"Vig",
"Lovekesh",
""
]
] | With the widespread use of mobile phones and scanners to photograph and upload documents, the need for extracting the information trapped in unstructured document images such as retail receipts, insurance claim forms and financial invoices is becoming more acute. A major hurdle to this objective is that these images of... |
1912.12214 | Tin Huynh Van | Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan
Nguyen | Job Prediction: From Deep Neural Network Models to Applications | Accepted by IEEE RIVF 2020 Conference | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Determining the job is suitable for a student or a person looking for work
based on their job's descriptions such as knowledge and skills that are
difficult, as well as how employers must find ways to choose the candidates
that match the job they require. In this paper, we focus on studying the job
prediction using d... | [
{
"created": "Fri, 27 Dec 2019 16:13:43 GMT",
"version": "v1"
},
{
"created": "Fri, 31 Jan 2020 09:36:49 GMT",
"version": "v2"
}
] | 2020-02-03 | [
[
"Van Huynh",
"Tin",
""
],
[
"Van Nguyen",
"Kiet",
""
],
[
"Nguyen",
"Ngan Luu-Thuy",
""
],
[
"Nguyen",
"Anh Gia-Tuan",
""
]
] | Determining the job is suitable for a student or a person looking for work based on their job's descriptions such as knowledge and skills that are difficult, as well as how employers must find ways to choose the candidates that match the job they require. In this paper, we focus on studying the job prediction using dif... |
1912.02820 | Vikram Sharma | Prashant Batra, Vikram Sharma | Complexity of a Root Clustering Algorithm | 52 pages, 1 figure | null | null | null | cs.DS cs.CC cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Approximating the roots of a holomorphic function in an input box is a
fundamental problem in many domains. Most algorithms in the literature for
solving this problem are conditional, i.e., they make some simplifying
assumptions, such as, all the roots are simple or there are no roots on the
boundary of the input box... | [
{
"created": "Thu, 5 Dec 2019 08:59:16 GMT",
"version": "v1"
}
] | 2019-12-09 | [
[
"Batra",
"Prashant",
""
],
[
"Sharma",
"Vikram",
""
]
] | Approximating the roots of a holomorphic function in an input box is a fundamental problem in many domains. Most algorithms in the literature for solving this problem are conditional, i.e., they make some simplifying assumptions, such as, all the roots are simple or there are no roots on the boundary of the input box, ... |
2311.04924 | Andrej Lucny | Andrej Lucny, Pavel Petrovic | Tuning-less Object Naming with a Foundation Model | This work was funded (or co-funded) by the Horizon-Widera-2021
European Twinning project TERAIS G.A. n. 101079338 World Symposium on Digital
Intelligence for Systems and Machines (DISA2023), Kosice, September 21-22,
2023 citations: https://ieeexplore.ieee.org/document/10308905 codes:
https://github.com/andylucn... | 2023 World Symposium on Digital Intelligence for Systems and
Machines (DISA) https://ieeexplore.ieee.org/xpl/conhome/10308901/proceeding
pages 154-160 | 10.1109/DISA59116.2023 | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | We implement a real-time object naming system that enables learning a set of
named entities never seen. Our approach employs an existing foundation model
that we consider ready to see anything before starting. It turns seen images
into relatively small feature vectors that we associate with index to a
gradually built... | [
{
"created": "Fri, 3 Nov 2023 09:11:49 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Feb 2024 13:08:43 GMT",
"version": "v2"
}
] | 2024-02-27 | [
[
"Lucny",
"Andrej",
""
],
[
"Petrovic",
"Pavel",
""
]
] | We implement a real-time object naming system that enables learning a set of named entities never seen. Our approach employs an existing foundation model that we consider ready to see anything before starting. It turns seen images into relatively small feature vectors that we associate with index to a gradually built v... |
1209.3356 | Rajkumar Buyya | Rajkumar Buyya, Rodrigo N. Calheiros, and Xiaorong Li | Autonomic Cloud Computing: Open Challenges and Architectural Elements | 8 pages, 6 figures, conference keynote paper | Proceedings of the Third International Conference of Emerging
Applications of Information Technology (EAIT 2012, IEEE Press, USA), Kolkata,
India, November 29-December 01, 2012 | 10.1109/EAIT.2012.6407847 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As Clouds are complex, large-scale, and heterogeneous distributed systems,
management of their resources is a challenging task. They need automated and
integrated intelligent strategies for provisioning of resources to offer
services that are secure, reliable, and cost-efficient. Hence, effective
management of servic... | [
{
"created": "Sat, 15 Sep 2012 04:40:46 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Buyya",
"Rajkumar",
""
],
[
"Calheiros",
"Rodrigo N.",
""
],
[
"Li",
"Xiaorong",
""
]
] | As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that are secure, reliable, and cost-efficient. Hence, effective management of services... |
1706.05476 | Zijian Li | Zijian Li, Xun Jian, Xiang Lian, Lei Chen | An Efficient Probabilistic Approach for Graph Similarity Search | null | null | null | null | cs.DB cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph similarity search is a common and fundamental operation in graph
databases. One of the most popular graph similarity measures is the Graph Edit
Distance (GED) mainly because of its broad applicability and high
interpretability. Despite its prevalence, exact GED computation is proved to be
NP-hard, which could r... | [
{
"created": "Sat, 17 Jun 2017 05:25:10 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Jan 2018 19:42:42 GMT",
"version": "v2"
}
] | 2018-01-25 | [
[
"Li",
"Zijian",
""
],
[
"Jian",
"Xun",
""
],
[
"Lian",
"Xiang",
""
],
[
"Chen",
"Lei",
""
]
] | Graph similarity search is a common and fundamental operation in graph databases. One of the most popular graph similarity measures is the Graph Edit Distance (GED) mainly because of its broad applicability and high interpretability. Despite its prevalence, exact GED computation is proved to be NP-hard, which could res... |
2302.11506 | Pranav Kadam | Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu,
C.-C. Jay Kuo | S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification | 5 pages, 3 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many point cloud classification methods are developed under the assumption
that all point clouds in the dataset are well aligned with the canonical axes
so that the 3D Cartesian point coordinates can be employed to learn features.
When input point clouds are not aligned, the classification performance drops
significa... | [
{
"created": "Wed, 22 Feb 2023 17:23:33 GMT",
"version": "v1"
}
] | 2023-02-23 | [
[
"Kadam",
"Pranav",
""
],
[
"Prajapati",
"Hardik",
""
],
[
"Zhang",
"Min",
""
],
[
"Xue",
"Jintang",
""
],
[
"Liu",
"Shan",
""
],
[
"Kuo",
"C. -C. Jay",
""
]
] | Many point cloud classification methods are developed under the assumption that all point clouds in the dataset are well aligned with the canonical axes so that the 3D Cartesian point coordinates can be employed to learn features. When input point clouds are not aligned, the classification performance drops significant... |
2203.10789 | Junbum Cha | Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun | Domain Generalization by Mutual-Information Regularization with
Pre-trained Models | ECCV 2022 camera-ready | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Domain generalization (DG) aims to learn a generalized model to an unseen
target domain using only limited source domains. Previous attempts to DG fail
to learn domain-invariant representations only from the source domains due to
the significant domain shifts between training and test domains. Instead, we
re-formulat... | [
{
"created": "Mon, 21 Mar 2022 08:07:46 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Jul 2022 06:16:48 GMT",
"version": "v2"
}
] | 2022-07-25 | [
[
"Cha",
"Junbum",
""
],
[
"Lee",
"Kyungjae",
""
],
[
"Park",
"Sungrae",
""
],
[
"Chun",
"Sanghyuk",
""
]
] | Domain generalization (DG) aims to learn a generalized model to an unseen target domain using only limited source domains. Previous attempts to DG fail to learn domain-invariant representations only from the source domains due to the significant domain shifts between training and test domains. Instead, we re-formulate ... |
2012.11153 | Xavier Porte | Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein,
James A. Lott, Daniel Brunner | A complete, parallel and autonomous photonic neural network in a
semiconductor multimode laser | 16 pages, 4 figures | null | null | null | cs.NE cs.ET cs.LG physics.optics | http://creativecommons.org/licenses/by/4.0/ | Neural networks are one of the disruptive computing concepts of our time.
However, they fundamentally differ from classical, algorithmic computing in a
number of fundamental aspects. These differences result in equally fundamental,
severe and relevant challenges for neural network computing using current
computing su... | [
{
"created": "Mon, 21 Dec 2020 07:03:43 GMT",
"version": "v1"
}
] | 2020-12-22 | [
[
"Porte",
"Xavier",
""
],
[
"Skalli",
"Anas",
""
],
[
"Haghighi",
"Nasibeh",
""
],
[
"Reitzenstein",
"Stephan",
""
],
[
"Lott",
"James A.",
""
],
[
"Brunner",
"Daniel",
""
]
] | Neural networks are one of the disruptive computing concepts of our time. However, they fundamentally differ from classical, algorithmic computing in a number of fundamental aspects. These differences result in equally fundamental, severe and relevant challenges for neural network computing using current computing subs... |
2204.08332 | Luo Ziwei | Ziwei Luo, Youwei Li, Shen Cheng, Lei Yu, Qi Wu, Zhihong Wen, Haoqiang
Fan, Jian Sun, Shuaicheng Liu | BSRT: Improving Burst Super-Resolution with Swin Transformer and
Flow-Guided Deformable Alignment | CVPRW, Winner method in NTIRE 2022 Burst Super-Resolution Challenge
Real-World Track | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work addresses the Burst Super-Resolution (BurstSR) task using a new
architecture, which requires restoring a high-quality image from a sequence of
noisy, misaligned, and low-resolution RAW bursts. To overcome the challenges in
BurstSR, we propose a Burst Super-Resolution Transformer (BSRT), which can
significan... | [
{
"created": "Mon, 18 Apr 2022 14:23:10 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Apr 2022 15:02:42 GMT",
"version": "v2"
}
] | 2022-04-25 | [
[
"Luo",
"Ziwei",
""
],
[
"Li",
"Youwei",
""
],
[
"Cheng",
"Shen",
""
],
[
"Yu",
"Lei",
""
],
[
"Wu",
"Qi",
""
],
[
"Wen",
"Zhihong",
""
],
[
"Fan",
"Haoqiang",
""
],
[
"Sun",
"Jian",
""
],
... | This work addresses the Burst Super-Resolution (BurstSR) task using a new architecture, which requires restoring a high-quality image from a sequence of noisy, misaligned, and low-resolution RAW bursts. To overcome the challenges in BurstSR, we propose a Burst Super-Resolution Transformer (BSRT), which can significantl... |
2103.06172 | Sam Corbett-Davies | Chlo\'e Bakalar, Renata Barreto, Stevie Bergman, Miranda Bogen, Bobbie
Chern, Sam Corbett-Davies, Melissa Hall, Isabel Kloumann, Michelle Lam,
Joaquin Qui\~nonero Candela, Manish Raghavan, Joshua Simons, Jonathan Tannen,
Edmund Tong, Kate Vredenburgh, Jiejing Zhao | Fairness On The Ground: Applying Algorithmic Fairness Approaches to
Production Systems | 12 pages, 2 figures | null | null | null | cs.LG cs.CY | http://creativecommons.org/licenses/by/4.0/ | Many technical approaches have been proposed for ensuring that decisions made
by machine learning systems are fair, but few of these proposals have been
stress-tested in real-world systems. This paper presents an example of one
team's approach to the challenge of applying algorithmic fairness approaches to
complex pr... | [
{
"created": "Wed, 10 Mar 2021 16:42:20 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Mar 2021 17:15:40 GMT",
"version": "v2"
}
] | 2021-03-25 | [
[
"Bakalar",
"Chloé",
""
],
[
"Barreto",
"Renata",
""
],
[
"Bergman",
"Stevie",
""
],
[
"Bogen",
"Miranda",
""
],
[
"Chern",
"Bobbie",
""
],
[
"Corbett-Davies",
"Sam",
""
],
[
"Hall",
"Melissa",
""
],
[
... | Many technical approaches have been proposed for ensuring that decisions made by machine learning systems are fair, but few of these proposals have been stress-tested in real-world systems. This paper presents an example of one team's approach to the challenge of applying algorithmic fairness approaches to complex prod... |
1510.06623 | Rafael Dowsley | Rafael Dowsley, Felipe Lacerda, Anderson C. A. Nascimento | Commitment and Oblivious Transfer in the Bounded Storage Model with
Errors | null | null | null | null | cs.CR cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The bounded storage model restricts the memory of an adversary in a
cryptographic protocol, rather than restricting its computational power, making
information theoretically secure protocols feasible. We present the first
protocols for commitment and oblivious transfer in the bounded storage model
with errors, i.e., ... | [
{
"created": "Thu, 22 Oct 2015 13:44:12 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Oct 2017 15:36:27 GMT",
"version": "v2"
}
] | 2017-10-25 | [
[
"Dowsley",
"Rafael",
""
],
[
"Lacerda",
"Felipe",
""
],
[
"Nascimento",
"Anderson C. A.",
""
]
] | The bounded storage model restricts the memory of an adversary in a cryptographic protocol, rather than restricting its computational power, making information theoretically secure protocols feasible. We present the first protocols for commitment and oblivious transfer in the bounded storage model with errors, i.e., th... |
2010.01423 | Merav Parter | Yael Hitron, Cameron Musco and Merav Parter | Spiking Neural Networks Through the Lens of Streaming Algorithms | To appear in DISC'20, shorten abstract | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We initiate the study of biological neural networks from the perspective of
streaming algorithms. Like computers, human brains suffer from memory
limitations which pose a significant obstacle when processing large scale and
dynamically changing data. In computer science, these challenges are captured
by the well-know... | [
{
"created": "Sat, 3 Oct 2020 20:31:52 GMT",
"version": "v1"
}
] | 2020-10-06 | [
[
"Hitron",
"Yael",
""
],
[
"Musco",
"Cameron",
""
],
[
"Parter",
"Merav",
""
]
] | We initiate the study of biological neural networks from the perspective of streaming algorithms. Like computers, human brains suffer from memory limitations which pose a significant obstacle when processing large scale and dynamically changing data. In computer science, these challenges are captured by the well-known ... |
1811.00246 | Jinwon An | Jinwon An, Sungwon Lyu, Sungzoon Cho | SARN: Relational Reasoning through Sequential Attention | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes an attention module augmented relational network called
SARN(Sequential Attention Relational Network) that can carry out relational
reasoning by extracting reference objects and making efficient pairing between
objects. SARN greatly reduces the computational and memory requirements of the
relation... | [
{
"created": "Thu, 1 Nov 2018 05:45:43 GMT",
"version": "v1"
}
] | 2018-11-02 | [
[
"An",
"Jinwon",
""
],
[
"Lyu",
"Sungwon",
""
],
[
"Cho",
"Sungzoon",
""
]
] | This paper proposes an attention module augmented relational network called SARN(Sequential Attention Relational Network) that can carry out relational reasoning by extracting reference objects and making efficient pairing between objects. SARN greatly reduces the computational and memory requirements of the relational... |
2311.03016 | Andrea Bombarda | Andrea Bombarda and Angelo Gargantini | Design, implementation, and validation of a benchmark generator for
combinatorial interaction testing tools | null | null | 10.1016/j.jss.2023.111920 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Combinatorial testing is a widely adopted technique for efficiently detecting
faults in software. The quality of combinatorial test generators plays a
crucial role in achieving effective test coverage. Evaluating combinatorial
test generators remains a challenging task that requires diverse and
representative benchma... | [
{
"created": "Mon, 6 Nov 2023 10:44:48 GMT",
"version": "v1"
}
] | 2023-12-19 | [
[
"Bombarda",
"Andrea",
""
],
[
"Gargantini",
"Angelo",
""
]
] | Combinatorial testing is a widely adopted technique for efficiently detecting faults in software. The quality of combinatorial test generators plays a crucial role in achieving effective test coverage. Evaluating combinatorial test generators remains a challenging task that requires diverse and representative benchmark... |
1511.06316 | Zinelabidine Boulkenafet Mr | Zinelabidine Boulkenafet, Jukka Komulainen, Abdenour Hadid | face anti-spoofing based on color texture analysis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research on face spoofing detection has mainly been focused on analyzing the
luminance of the face images, hence discarding the chrominance information
which can be useful for discriminating fake faces from genuine ones. In this
work, we propose a new face anti-spoofing method based on color texture
analysis. We anal... | [
{
"created": "Thu, 19 Nov 2015 19:28:20 GMT",
"version": "v1"
}
] | 2015-11-20 | [
[
"Boulkenafet",
"Zinelabidine",
""
],
[
"Komulainen",
"Jukka",
""
],
[
"Hadid",
"Abdenour",
""
]
] | Research on face spoofing detection has mainly been focused on analyzing the luminance of the face images, hence discarding the chrominance information which can be useful for discriminating fake faces from genuine ones. In this work, we propose a new face anti-spoofing method based on color texture analysis. We analyz... |
1405.7520 | Gianluca Della Vedova | Paola Bonizzoni, Gianluca Della Vedova, Yuri Pirola, Marco Previtali,
Raffaella Rizzi | An External-Memory Algorithm for String Graph Construction | null | null | null | null | cs.DS q-bio.GN | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Some recent results have introduced external-memory algorithms to compute
self-indexes of a set of strings, mainly via computing the Burrows-Wheeler
Transform (BWT) of the input strings. The motivations for those results stem
from Bioinformatics, where a large number of short strings (called reads) are
routinely prod... | [
{
"created": "Thu, 29 May 2014 11:09:55 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jun 2015 15:08:26 GMT",
"version": "v2"
}
] | 2015-06-12 | [
[
"Bonizzoni",
"Paola",
""
],
[
"Della Vedova",
"Gianluca",
""
],
[
"Pirola",
"Yuri",
""
],
[
"Previtali",
"Marco",
""
],
[
"Rizzi",
"Raffaella",
""
]
] | Some recent results have introduced external-memory algorithms to compute self-indexes of a set of strings, mainly via computing the Burrows-Wheeler Transform (BWT) of the input strings. The motivations for those results stem from Bioinformatics, where a large number of short strings (called reads) are routinely produc... |
2108.12189 | Diego Molla Aliod | Diego Moll\'a, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej
Rybinski | Query-Focused Extractive Summarisation for Finding Ideal Answers to
Biomedical and COVID-19 Questions | 12 pages, 2 figures, 6 tables. Accepted at BioASQ workshop, CLEF 2021 | null | null | null | cs.CL cs.IR | http://creativecommons.org/licenses/by/4.0/ | This paper presents Macquarie University's participation to the BioASQ
Synergy Task, and BioASQ9b Phase B. In each of these tasks, our participation
focused on the use of query-focused extractive summarisation to obtain the
ideal answers to medical questions. The Synergy Task is an end-to-end question
answering task ... | [
{
"created": "Fri, 27 Aug 2021 09:19:42 GMT",
"version": "v1"
},
{
"created": "Tue, 31 Aug 2021 01:31:39 GMT",
"version": "v2"
}
] | 2021-09-01 | [
[
"Mollá",
"Diego",
""
],
[
"Khanna",
"Urvashi",
""
],
[
"Galat",
"Dima",
""
],
[
"Nguyen",
"Vincent",
""
],
[
"Rybinski",
"Maciej",
""
]
] | This paper presents Macquarie University's participation to the BioASQ Synergy Task, and BioASQ9b Phase B. In each of these tasks, our participation focused on the use of query-focused extractive summarisation to obtain the ideal answers to medical questions. The Synergy Task is an end-to-end question answering task on... |
1202.2465 | Jierui Xie | Jierui Xie and Boleslaw K. Szymanski | Towards Linear Time Overlapping Community Detection in Social Networks | PAKDD 2012 | Proc. 16th PAKDD Pacific-Asia Conference on Knowledge Discovery
and Data Mining, Kuala Lumpur, Malaysia, 2012, Lecture Notes AI vol. 7302,
Part II, Springer, Berlin, Germany, 2012, pp. 25-36 | null | null | cs.SI cs.CY cs.DS physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Membership diversity is a characteristic aspect of social networks in which a
person may belong to more than one social group. For this reason, discovering
overlapping structures is necessary for realistic social analysis. In this
paper, we present a fast algorithm1, called SLPA, for overlapping community
detection i... | [
{
"created": "Sat, 11 Feb 2012 20:07:45 GMT",
"version": "v1"
}
] | 2013-05-15 | [
[
"Xie",
"Jierui",
""
],
[
"Szymanski",
"Boleslaw K.",
""
]
] | Membership diversity is a characteristic aspect of social networks in which a person may belong to more than one social group. For this reason, discovering overlapping structures is necessary for realistic social analysis. In this paper, we present a fast algorithm1, called SLPA, for overlapping community detection in ... |
1807.04868 | Suhad Faisal Behadili | Suhad Faisal Behadili, Cyrille Bertelle, Loay E. George | Human Mobility Patterns Modelling using CDRs | null | null | 10.5121/iju.2016.7102 | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The research objectives are exploring characteristics of human mobility
patterns, subsequently modelling them mathematically depending on inter-event
time and traveled distances parameters using CDRs (Call Detailed Records). The
observations are obtained from Armada festival in France. Understanding,
modelling and si... | [
{
"created": "Thu, 12 Jul 2018 23:52:05 GMT",
"version": "v1"
}
] | 2018-07-16 | [
[
"Behadili",
"Suhad Faisal",
""
],
[
"Bertelle",
"Cyrille",
""
],
[
"George",
"Loay E.",
""
]
] | The research objectives are exploring characteristics of human mobility patterns, subsequently modelling them mathematically depending on inter-event time and traveled distances parameters using CDRs (Call Detailed Records). The observations are obtained from Armada festival in France. Understanding, modelling and simu... |
2406.15742 | Alexander Lew | McCoy R. Becker, Alexander K. Lew, Xiaoyan Wang, Matin Ghavami,
Mathieu Huot, Martin C. Rinard, Vikash K. Mansinghka | Probabilistic Programming with Programmable Variational Inference | null | PLDI 2024 | 10.1145/3656463 | null | cs.PL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Compared to the wide array of advanced Monte Carlo methods supported by
modern probabilistic programming languages (PPLs), PPL support for variational
inference (VI) is less developed: users are typically limited to a predefined
selection of variational objectives and gradient estimators, which are
implemented monoli... | [
{
"created": "Sat, 22 Jun 2024 05:49:37 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Becker",
"McCoy R.",
""
],
[
"Lew",
"Alexander K.",
""
],
[
"Wang",
"Xiaoyan",
""
],
[
"Ghavami",
"Matin",
""
],
[
"Huot",
"Mathieu",
""
],
[
"Rinard",
"Martin C.",
""
],
[
"Mansinghka",
"Vikash K.",
""
... | Compared to the wide array of advanced Monte Carlo methods supported by modern probabilistic programming languages (PPLs), PPL support for variational inference (VI) is less developed: users are typically limited to a predefined selection of variational objectives and gradient estimators, which are implemented monolith... |
1703.04171 | Oliver Gutsche | Oliver Gutsche (1), Matteo Cremonesi (1), Peter Elmer (2), Bo
Jayatilaka (1), Jim Kowalkowski (1), Jim Pivarski (2), Saba Sehrish (1),
Cristina Mantilla Surez (3), Alexey Svyatkovskiy (2), Nhan Tran (1) ((1)
Fermi National Accelerator Laboratory, (2) Princeton University, (3) Fermi
National Accelerator Laborato... | Big Data in HEP: A comprehensive use case study | Proceedings for 22nd International Conference on Computing in High
Energy and Nuclear Physics (CHEP 2016) | null | 10.1088/1742-6596/898/7/072012 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Experimental Particle Physics has been at the forefront of analyzing the
worlds largest datasets for decades. The HEP community was the first to develop
suitable software and computing tools for this task. In recent times, new
toolkits and systems collectively called Big Data technologies have emerged to
support the ... | [
{
"created": "Sun, 12 Mar 2017 20:37:29 GMT",
"version": "v1"
}
] | 2017-11-23 | [
[
"Gutsche",
"Oliver",
""
],
[
"Cremonesi",
"Matteo",
""
],
[
"Elmer",
"Peter",
""
],
[
"Jayatilaka",
"Bo",
""
],
[
"Kowalkowski",
"Jim",
""
],
[
"Pivarski",
"Jim",
""
],
[
"Sehrish",
"Saba",
""
],
[
... | Experimental Particle Physics has been at the forefront of analyzing the worlds largest datasets for decades. The HEP community was the first to develop suitable software and computing tools for this task. In recent times, new toolkits and systems collectively called Big Data technologies have emerged to support the an... |
2404.13130 | Jayasri Dontabhaktuni Prof | Sreeraj Rajan Warrier, D Sri Harshavardhan Reddy, Sriya Bada, Rohith
Achampeta, Sebastian Uppapalli and Jayasri Dontabhaktuni | On-board classification of underwater images using hybrid
classical-quantum CNN based method | null | null | null | null | cs.CV quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Underwater images taken from autonomous underwater vehicles (AUV's) often
suffer from low light, high turbidity, poor contrast, motion-blur and excessive
light scattering and hence require image enhancement techniques for object
recognition. Machine learning methods are being increasingly used for object
recognition ... | [
{
"created": "Fri, 19 Apr 2024 18:34:52 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Warrier",
"Sreeraj Rajan",
""
],
[
"Reddy",
"D Sri Harshavardhan",
""
],
[
"Bada",
"Sriya",
""
],
[
"Achampeta",
"Rohith",
""
],
[
"Uppapalli",
"Sebastian",
""
],
[
"Dontabhaktuni",
"Jayasri",
""
]
] | Underwater images taken from autonomous underwater vehicles (AUV's) often suffer from low light, high turbidity, poor contrast, motion-blur and excessive light scattering and hence require image enhancement techniques for object recognition. Machine learning methods are being increasingly used for object recognition un... |
2404.07976 | Zhiqiang Shen | Muxin Zhou and Zeyuan Yin and Shitong Shao and Zhiqiang Shen | Self-supervised Dataset Distillation: A Good Compression Is All You Need | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Dataset distillation aims to compress information from a large-scale original
dataset to a new compact dataset while striving to preserve the utmost degree
of the original data informational essence. Previous studies have predominantly
concentrated on aligning the intermediate statistics between the original and
dist... | [
{
"created": "Thu, 11 Apr 2024 17:56:40 GMT",
"version": "v1"
}
] | 2024-04-12 | [
[
"Zhou",
"Muxin",
""
],
[
"Yin",
"Zeyuan",
""
],
[
"Shao",
"Shitong",
""
],
[
"Shen",
"Zhiqiang",
""
]
] | Dataset distillation aims to compress information from a large-scale original dataset to a new compact dataset while striving to preserve the utmost degree of the original data informational essence. Previous studies have predominantly concentrated on aligning the intermediate statistics between the original and distil... |
1906.04034 | Sebastien Gros Prof. | Sebastien Gros, Mario Zanon | Towards Safe Reinforcement Learning Using NMPC and Policy Gradients:
Part II - Deterministic Case | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a methodology to deploy the deterministic policy
gradient method, using actor-critic techniques, when the optimal policy is
approximated using a parametric optimization problem, where safety is enforced
via hard constraints. For continuous input space, imposing safety restrictions
on the exp... | [
{
"created": "Mon, 10 Jun 2019 14:45:03 GMT",
"version": "v1"
}
] | 2019-06-11 | [
[
"Gros",
"Sebastien",
""
],
[
"Zanon",
"Mario",
""
]
] | In this paper, we present a methodology to deploy the deterministic policy gradient method, using actor-critic techniques, when the optimal policy is approximated using a parametric optimization problem, where safety is enforced via hard constraints. For continuous input space, imposing safety restrictions on the explo... |
1509.01938 | Katrin Kirchhoff | Katrin Kirchhoff, Bing Zhao, Wen Wang | Exploiting Out-of-Domain Data Sources for Dialectal Arabic Statistical
Machine Translation | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Statistical machine translation for dialectal Arabic is characterized by a
lack of data since data acquisition involves the transcription and translation
of spoken language. In this study we develop techniques for extracting parallel
data for one particular dialect of Arabic (Iraqi Arabic) from out-of-domain
corpora ... | [
{
"created": "Mon, 7 Sep 2015 07:54:17 GMT",
"version": "v1"
}
] | 2015-09-08 | [
[
"Kirchhoff",
"Katrin",
""
],
[
"Zhao",
"Bing",
""
],
[
"Wang",
"Wen",
""
]
] | Statistical machine translation for dialectal Arabic is characterized by a lack of data since data acquisition involves the transcription and translation of spoken language. In this study we develop techniques for extracting parallel data for one particular dialect of Arabic (Iraqi Arabic) from out-of-domain corpora in... |
1302.1575 | Nevin Lianwen Zhang | Nevin Lianwen Zhang, Weihong Zhang | Fast Value Iteration for Goal-Directed Markov Decision Processes | Appears in Proceedings of the Thirteenth Conference on Uncertainty in
Artificial Intelligence (UAI1997) | null | null | UAI-P-1997-PG-489-494 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Planning problems where effects of actions are non-deterministic can be
modeled as Markov decision processes. Planning problems are usually
goal-directed. This paper proposes several techniques for exploiting the
goal-directedness to accelerate value iteration, a standard algorithm for
solving Markov decision process... | [
{
"created": "Wed, 6 Feb 2013 15:59:41 GMT",
"version": "v1"
}
] | 2013-02-08 | [
[
"Zhang",
"Nevin Lianwen",
""
],
[
"Zhang",
"Weihong",
""
]
] | Planning problems where effects of actions are non-deterministic can be modeled as Markov decision processes. Planning problems are usually goal-directed. This paper proposes several techniques for exploiting the goal-directedness to accelerate value iteration, a standard algorithm for solving Markov decision processes... |
2402.09113 | Aditya Gilra | Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra | Measuring Exploration in Reinforcement Learning via Optimal Transport in
Policy Space | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Exploration is the key ingredient of reinforcement learning (RL) that
determines the speed and success of learning. Here, we quantify and compare the
amount of exploration and learning accomplished by a Reinforcement Learning
(RL) algorithm. Specifically, we propose a novel measure, named Exploration
Index, that quan... | [
{
"created": "Wed, 14 Feb 2024 11:55:50 GMT",
"version": "v1"
}
] | 2024-02-15 | [
[
"Nkhumise",
"Reabetswe M.",
""
],
[
"Basu",
"Debabrota",
""
],
[
"Prescott",
"Tony J.",
""
],
[
"Gilra",
"Aditya",
""
]
] | Exploration is the key ingredient of reinforcement learning (RL) that determines the speed and success of learning. Here, we quantify and compare the amount of exploration and learning accomplished by a Reinforcement Learning (RL) algorithm. Specifically, we propose a novel measure, named Exploration Index, that quanti... |
1712.06302 | Jose Oramas | Jose Oramas, Kaili Wang, Tinne Tuytelaars | Visual Explanation by Interpretation: Improving Visual Feedback
Capabilities of Deep Neural Networks | Accepted at International Conference on Learning Representations
(ICLR) 2019. Project website:
http://homes.esat.kuleuven.be/~joramas/projects/visualExplanationByInterpretation | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Interpretation and explanation of deep models is critical towards wide
adoption of systems that rely on them. In this paper, we propose a novel scheme
for both interpretation as well as explanation in which, given a pretrained
model, we automatically identify internal features relevant for the set of
classes consider... | [
{
"created": "Mon, 18 Dec 2017 09:17:44 GMT",
"version": "v1"
},
{
"created": "Tue, 22 May 2018 15:04:25 GMT",
"version": "v2"
},
{
"created": "Fri, 8 Mar 2019 12:11:15 GMT",
"version": "v3"
}
] | 2019-03-11 | [
[
"Oramas",
"Jose",
""
],
[
"Wang",
"Kaili",
""
],
[
"Tuytelaars",
"Tinne",
""
]
] | Interpretation and explanation of deep models is critical towards wide adoption of systems that rely on them. In this paper, we propose a novel scheme for both interpretation as well as explanation in which, given a pretrained model, we automatically identify internal features relevant for the set of classes considered... |
2210.03948 | Manne Pavan Reddy | Pavan Reddy M. and SaiDhiraj Amuru and Kiran Kuchi | Optimizing the Placement and Beamforming of RIS in Cellular Networks: A
System-Level Modeling Perspective | null | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | In this letter, we present in detail the system-level modeling of
reconfigurable intelligent surface (RIS)-assisted cellular systems by
considering a 3-dimensional channel model between base station, RIS, and user.
We prove that the optimal placement of RIS to achieve wider coverage is exactly
opposite to the base st... | [
{
"created": "Sat, 8 Oct 2022 07:33:54 GMT",
"version": "v1"
},
{
"created": "Tue, 2 May 2023 17:41:09 GMT",
"version": "v2"
}
] | 2023-05-03 | [
[
"M.",
"Pavan Reddy",
""
],
[
"Amuru",
"SaiDhiraj",
""
],
[
"Kuchi",
"Kiran",
""
]
] | In this letter, we present in detail the system-level modeling of reconfigurable intelligent surface (RIS)-assisted cellular systems by considering a 3-dimensional channel model between base station, RIS, and user. We prove that the optimal placement of RIS to achieve wider coverage is exactly opposite to the base stat... |
2106.10464 | Stanis{\l}aw Ka\'zmierczak | Stanis{\l}aw Ka\'zmierczak, Zofia Juszka, Piotr Fudalej, Jacek
Ma\'ndziuk | Prediction of the facial growth direction with Machine Learning methods | null | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | First attempts of prediction of the facial growth (FG) direction were made
over half of a century ago. Despite numerous attempts and elapsed time, a
satisfactory method has not been established yet and the problem still poses a
challenge for medical experts. To our knowledge, this paper is the first
Machine Learning ... | [
{
"created": "Sat, 19 Jun 2021 10:12:12 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Kaźmierczak",
"Stanisław",
""
],
[
"Juszka",
"Zofia",
""
],
[
"Fudalej",
"Piotr",
""
],
[
"Mańdziuk",
"Jacek",
""
]
] | First attempts of prediction of the facial growth (FG) direction were made over half of a century ago. Despite numerous attempts and elapsed time, a satisfactory method has not been established yet and the problem still poses a challenge for medical experts. To our knowledge, this paper is the first Machine Learning ap... |
1709.10008 | Valentin Touzeau | Valentin Touzeau (1), Claire Ma\"iza (1), David Monniaux (1), Jan
Reineke (2) ((1) VERIMAG-IMAG, (2) Saarland University) | Ascertaining Uncertainty for Efficient Exact Cache Analysis | null | Rupak Majumdar; Viktor Kuncak. Computer Aided Verification - 29th
International Conference, Jul 2017, Heidelberg, France. Springer, 10427 (2),
pp.20 - 40, 2017, Lecture notes in computer science.
http://cavconference.org/2017/ | 10.1007/978-3-319-63390-9_2 | null | cs.PL cs.AR cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Static cache analysis characterizes a program's cache behavior by determining
in a sound but approximate manner which memory accesses result in cache hits
and which result in cache misses. Such information is valuable in optimizing
compilers, worst-case execution time analysis, and side-channel attack
quantification ... | [
{
"created": "Thu, 28 Sep 2017 15:05:54 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Dec 2018 08:38:34 GMT",
"version": "v2"
}
] | 2021-08-23 | [
[
"Touzeau",
"Valentin",
"",
"VERIMAG-IMAG"
],
[
"Maïza",
"Claire",
"",
"VERIMAG-IMAG"
],
[
"Monniaux",
"David",
"",
"VERIMAG-IMAG"
],
[
"Reineke",
"Jan",
"",
"Saarland University"
]
] | Static cache analysis characterizes a program's cache behavior by determining in a sound but approximate manner which memory accesses result in cache hits and which result in cache misses. Such information is valuable in optimizing compilers, worst-case execution time analysis, and side-channel attack quantification an... |
2106.14885 | Anastasios Nentidis | Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia
Krithara, Luis Gasco, Martin Krallinger, Georgios Paliouras | Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale
Biomedical Semantic Indexing and Question Answering | 25 pages, 15 tables, 3 figures. arXiv admin note: text overlap with
arXiv:2106.14618 | Candan K.S. et al. (eds) Experimental IR Meets Multilinguality,
Multimodality, and Interaction. CLEF 2021. Lecture Notes in Computer Science,
vol 12880. Springer, Cham | 10.1007/978-3-030-85251-1_18 | null | cs.CL cs.AI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advancing the state-of-the-art in large-scale biomedical semantic indexing
and question answering is the main focus of the BioASQ challenge. BioASQ
organizes respective tasks where different teams develop systems that are
evaluated on the same benchmark datasets that represent the real information
needs of experts in... | [
{
"created": "Mon, 28 Jun 2021 10:03:11 GMT",
"version": "v1"
}
] | 2021-09-16 | [
[
"Nentidis",
"Anastasios",
""
],
[
"Katsimpras",
"Georgios",
""
],
[
"Vandorou",
"Eirini",
""
],
[
"Krithara",
"Anastasia",
""
],
[
"Gasco",
"Luis",
""
],
[
"Krallinger",
"Martin",
""
],
[
"Paliouras",
"Georgios... | Advancing the state-of-the-art in large-scale biomedical semantic indexing and question answering is the main focus of the BioASQ challenge. BioASQ organizes respective tasks where different teams develop systems that are evaluated on the same benchmark datasets that represent the real information needs of experts in t... |
1411.3107 | Xiaoqiang Ren | Xiaoqiang Ren, Jiming Chen, Karl H. Johansson and Ling Shi | Quickest Change Detection with a Censoring Sensor in the Minimax Setting | null | null | null | null | cs.SY cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of quickest change detection with a wireless sensor node is
studied in this paper. The sensor that is deployed to monitor the environment
has limited energy constraint to the classical quickest change detection
problem. We consider the "censoring" strategy at the sensor side, i.e., the
sensor selectively ... | [
{
"created": "Wed, 12 Nov 2014 09:10:01 GMT",
"version": "v1"
}
] | 2014-11-13 | [
[
"Ren",
"Xiaoqiang",
""
],
[
"Chen",
"Jiming",
""
],
[
"Johansson",
"Karl H.",
""
],
[
"Shi",
"Ling",
""
]
] | The problem of quickest change detection with a wireless sensor node is studied in this paper. The sensor that is deployed to monitor the environment has limited energy constraint to the classical quickest change detection problem. We consider the "censoring" strategy at the sensor side, i.e., the sensor selectively se... |
2005.07926 | Savvas Zannettou | Savvas Zannettou, Mai ElSherief, Elizabeth Belding, Shirin Nilizadeh,
Gianluca Stringhini | Measuring and Characterizing Hate Speech on News Websites | Accepted at WebSci'20 | null | null | null | cs.SI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Web has become the main source for news acquisition. At the same time,
news discussion has become more social: users can post comments on news
articles or discuss news articles on other platforms like Reddit. These
features empower and enable discussions among the users; however, they also act
as the medium for t... | [
{
"created": "Sat, 16 May 2020 09:59:01 GMT",
"version": "v1"
}
] | 2020-05-19 | [
[
"Zannettou",
"Savvas",
""
],
[
"ElSherief",
"Mai",
""
],
[
"Belding",
"Elizabeth",
""
],
[
"Nilizadeh",
"Shirin",
""
],
[
"Stringhini",
"Gianluca",
""
]
] | The Web has become the main source for news acquisition. At the same time, news discussion has become more social: users can post comments on news articles or discuss news articles on other platforms like Reddit. These features empower and enable discussions among the users; however, they also act as the medium for the... |
0804.1840 | Sudhir Singh | Aditya Ramamoorthy, Vwani Roychowdhury, Sudhir Kumar Singh | Selfish Distributed Compression over Networks: Correlation Induces
Anarchy | replaced with revised version, 32 pages, 2 figures | null | null | null | cs.GT cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the min-cost multicast problem (under network coding) with
multiple correlated sources where each terminal wants to losslessly reconstruct
all the sources. We study the inefficiency brought forth by the selfish
behavior of the terminals in this scenario by modeling it as a noncooperative
game among the te... | [
{
"created": "Fri, 11 Apr 2008 07:22:39 GMT",
"version": "v1"
},
{
"created": "Sun, 1 Mar 2009 21:23:31 GMT",
"version": "v2"
}
] | 2009-03-01 | [
[
"Ramamoorthy",
"Aditya",
""
],
[
"Roychowdhury",
"Vwani",
""
],
[
"Singh",
"Sudhir Kumar",
""
]
] | We consider the min-cost multicast problem (under network coding) with multiple correlated sources where each terminal wants to losslessly reconstruct all the sources. We study the inefficiency brought forth by the selfish behavior of the terminals in this scenario by modeling it as a noncooperative game among the term... |
2401.15071 | Zhenfei Yin | Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie
Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li,
Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao
Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He,
Yingchun Wang, Yixu ... | From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on
Generalizability, Trustworthiness and Causality through Four Modalities | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-modal Large Language Models (MLLMs) have shown impressive abilities in
generating reasonable responses with respect to multi-modal contents. However,
there is still a wide gap between the performance of recent MLLM-based
applications and the expectation of the broad public, even though the most
powerful OpenAI'... | [
{
"created": "Fri, 26 Jan 2024 18:53:03 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jan 2024 15:18:45 GMT",
"version": "v2"
}
] | 2024-01-30 | [
[
"Lu",
"Chaochao",
""
],
[
"Qian",
"Chen",
""
],
[
"Zheng",
"Guodong",
""
],
[
"Fan",
"Hongxing",
""
],
[
"Gao",
"Hongzhi",
""
],
[
"Zhang",
"Jie",
""
],
[
"Shao",
"Jing",
""
],
[
"Deng",
"Jingyi... | Multi-modal Large Language Models (MLLMs) have shown impressive abilities in generating reasonable responses with respect to multi-modal contents. However, there is still a wide gap between the performance of recent MLLM-based applications and the expectation of the broad public, even though the most powerful OpenAI's ... |
2306.11426 | Ioannis Panopoulos | Ioannis Panopoulos, Sokratis Nikolaidis, Stylianos I. Venieris,
Iakovos S. Venieris | Exploring the Performance and Efficiency of Transformer Models for NLP
on Mobile Devices | Accepted at the 3rd IEEE International Workshop on Distributed
Intelligent Systems (DistInSys), 2023 | null | null | null | cs.LG cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning (DL) is characterised by its dynamic nature, with new deep
neural network (DNN) architectures and approaches emerging every few years,
driving the field's advancement. At the same time, the ever-increasing use of
mobile devices (MDs) has resulted in a surge of DNN-based mobile applications.
Although tra... | [
{
"created": "Tue, 20 Jun 2023 10:15:01 GMT",
"version": "v1"
}
] | 2023-07-25 | [
[
"Panopoulos",
"Ioannis",
""
],
[
"Nikolaidis",
"Sokratis",
""
],
[
"Venieris",
"Stylianos I.",
""
],
[
"Venieris",
"Iakovos S.",
""
]
] | Deep learning (DL) is characterised by its dynamic nature, with new deep neural network (DNN) architectures and approaches emerging every few years, driving the field's advancement. At the same time, the ever-increasing use of mobile devices (MDs) has resulted in a surge of DNN-based mobile applications. Although tradi... |
1801.06267 | Kevin Moran P | Mario Linares Vasquez, Kevin Moran, and Denys Poshyvanyk | Continuous, Evolutionary and Large-Scale: A New Perspective for
Automated Mobile App Testing | 12 pages, accepted to the Proceedings of 33rd IEEE International
Conference on Software Maintenance and Evolution (ICSME'17) | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile app development involves a unique set of challenges including device
fragmentation and rapidly evolving platforms, making testing a difficult task.
The design space for a comprehensive mobile testing strategy includes features,
inputs, potential contextual app states, and large combinations of devices and
unde... | [
{
"created": "Fri, 19 Jan 2018 01:58:56 GMT",
"version": "v1"
}
] | 2018-01-22 | [
[
"Vasquez",
"Mario Linares",
""
],
[
"Moran",
"Kevin",
""
],
[
"Poshyvanyk",
"Denys",
""
]
] | Mobile app development involves a unique set of challenges including device fragmentation and rapidly evolving platforms, making testing a difficult task. The design space for a comprehensive mobile testing strategy includes features, inputs, potential contextual app states, and large combinations of devices and underl... |
2106.13306 | Dingwen Tao | Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen
Tao | CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Designed
Adaptive Lossy Compression | 13 pages, 15 figures, 8 tables, accepted by ACM ICS '22 | null | 10.1145/3524059.3532362 | null | cs.DC cs.NI | http://creativecommons.org/licenses/by/4.0/ | As HPC systems continue to grow to exascale, the amount of data that needs to
be saved or transmitted is exploding. To this end, many previous works have
studied using error-bounded lossy compressors to reduce the data size and
improve the I/O performance. However, little work has been done for effectively
offloading... | [
{
"created": "Thu, 24 Jun 2021 20:26:52 GMT",
"version": "v1"
},
{
"created": "Sun, 3 Oct 2021 22:17:53 GMT",
"version": "v2"
},
{
"created": "Fri, 13 May 2022 04:22:58 GMT",
"version": "v3"
}
] | 2022-05-16 | [
[
"Zhang",
"Chengming",
""
],
[
"Jin",
"Sian",
""
],
[
"Geng",
"Tong",
""
],
[
"Tian",
"Jiannan",
""
],
[
"Li",
"Ang",
""
],
[
"Tao",
"Dingwen",
""
]
] | As HPC systems continue to grow to exascale, the amount of data that needs to be saved or transmitted is exploding. To this end, many previous works have studied using error-bounded lossy compressors to reduce the data size and improve the I/O performance. However, little work has been done for effectively offloading l... |
1904.09029 | Spyros Chatzivasileiadis | Jos\'e-Mar\'ia Hidalgo-Arteaga, Fiodar Hancharou, Florian Thams,
Spyros Chatzivasileiadis | Deep Learning for Power System Security Assessment | Accepted at IEEE Powertech 2019, Milan, Italy | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security assessment is among the most fundamental functions of power system
operator. The sheer complexity of power systems exceeding a few buses, however,
makes it an extremely computationally demanding task. The emergence of deep
learning methods that are able to handle immense amounts of data, and infer
valuable i... | [
{
"created": "Sun, 31 Mar 2019 20:07:44 GMT",
"version": "v1"
}
] | 2019-04-22 | [
[
"Hidalgo-Arteaga",
"José-María",
""
],
[
"Hancharou",
"Fiodar",
""
],
[
"Thams",
"Florian",
""
],
[
"Chatzivasileiadis",
"Spyros",
""
]
] | Security assessment is among the most fundamental functions of power system operator. The sheer complexity of power systems exceeding a few buses, however, makes it an extremely computationally demanding task. The emergence of deep learning methods that are able to handle immense amounts of data, and infer valuable inf... |
2306.16394 | Zihan Zhang | Zihan Zhang and Qiaomin Xie | Sharper Model-free Reinforcement Learning for Average-reward Markov
Decision Processes | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop several provably efficient model-free reinforcement learning (RL)
algorithms for infinite-horizon average-reward Markov Decision Processes
(MDPs). We consider both online setting and the setting with access to a
simulator. In the online setting, we propose model-free RL algorithms based on
reference-advant... | [
{
"created": "Wed, 28 Jun 2023 17:43:19 GMT",
"version": "v1"
}
] | 2023-06-29 | [
[
"Zhang",
"Zihan",
""
],
[
"Xie",
"Qiaomin",
""
]
] | We develop several provably efficient model-free reinforcement learning (RL) algorithms for infinite-horizon average-reward Markov Decision Processes (MDPs). We consider both online setting and the setting with access to a simulator. In the online setting, we propose model-free RL algorithms based on reference-advantag... |
2406.12084 | Yebowen Hu | Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao,
Hassan Foroosh, Dong Yu, Fei Liu | When Reasoning Meets Information Aggregation: A Case Study with Sports
Narratives | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reasoning is most powerful when an LLM accurately aggregates relevant
information. We examine the critical role of information aggregation in
reasoning by requiring the LLM to analyze sports narratives. To succeed at this
task, an LLM must infer points from actions, identify related entities,
attribute points accurat... | [
{
"created": "Mon, 17 Jun 2024 20:49:35 GMT",
"version": "v1"
}
] | 2024-06-19 | [
[
"Hu",
"Yebowen",
""
],
[
"Song",
"Kaiqiang",
""
],
[
"Cho",
"Sangwoo",
""
],
[
"Wang",
"Xiaoyang",
""
],
[
"Yao",
"Wenlin",
""
],
[
"Foroosh",
"Hassan",
""
],
[
"Yu",
"Dong",
""
],
[
"Liu",
"Fei... | Reasoning is most powerful when an LLM accurately aggregates relevant information. We examine the critical role of information aggregation in reasoning by requiring the LLM to analyze sports narratives. To succeed at this task, an LLM must infer points from actions, identify related entities, attribute points accuratel... |
2109.01254 | Krishna Kant | Sanjeev Sondur and Krishna Kant | Performance Health Index for Complex Cyber Infrastructures | 27 pages | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Most IT systems depend on a set of configuration variables (CVs), expressed
as a name/value pair that collectively define the resource allocation for the
system. While the ill-effects of misconfiguration or improper resource
allocation are well-known, there is no effective a priori metric to quantify
the impact of th... | [
{
"created": "Fri, 3 Sep 2021 00:37:42 GMT",
"version": "v1"
}
] | 2021-09-06 | [
[
"Sondur",
"Sanjeev",
""
],
[
"Kant",
"Krishna",
""
]
] | Most IT systems depend on a set of configuration variables (CVs), expressed as a name/value pair that collectively define the resource allocation for the system. While the ill-effects of misconfiguration or improper resource allocation are well-known, there is no effective a priori metric to quantify the impact of the ... |
2010.04985 | Marcel Dall'Agnol | Marcel Dall'Agnol, Tom Gur and Oded Lachish | A Structural Theorem for Local Algorithms with Applications to Coding,
Testing, and Verification | null | SIAM J. Comput., 52 (2023), pp. 1413-1463 | 10.1137/21M1422781 | null | cs.CC cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove a general structural theorem for a wide family of local algorithms,
which includes property testers, local decoders, and PCPs of proximity. Namely,
we show that the structure of every algorithm that makes $q$ adaptive queries
and satisfies a natural robustness condition admits a sample-based algorithm
with $... | [
{
"created": "Sat, 10 Oct 2020 12:46:42 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Dec 2023 16:00:36 GMT",
"version": "v2"
}
] | 2023-12-13 | [
[
"Dall'Agnol",
"Marcel",
""
],
[
"Gur",
"Tom",
""
],
[
"Lachish",
"Oded",
""
]
] | We prove a general structural theorem for a wide family of local algorithms, which includes property testers, local decoders, and PCPs of proximity. Namely, we show that the structure of every algorithm that makes $q$ adaptive queries and satisfies a natural robustness condition admits a sample-based algorithm with $n^... |
2206.13396 | Brandon Trabucco | Brandon Trabucco, Gunnar Sigurdsson, Robinson Piramuthu, Gaurav S.
Sukhatme, Ruslan Salakhutdinov | A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic
Search | Winner of the Rearrangement Challenge at CVPR 2022 | null | null | null | cs.CV cs.AI cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Physically rearranging objects is an important capability for embodied
agents. Visual room rearrangement evaluates an agent's ability to rearrange
objects in a room to a desired goal based solely on visual input. We propose a
simple yet effective method for this problem: (1) search for and map which
objects need to b... | [
{
"created": "Tue, 21 Jun 2022 02:33:57 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Aug 2022 20:47:35 GMT",
"version": "v2"
}
] | 2022-08-11 | [
[
"Trabucco",
"Brandon",
""
],
[
"Sigurdsson",
"Gunnar",
""
],
[
"Piramuthu",
"Robinson",
""
],
[
"Sukhatme",
"Gaurav S.",
""
],
[
"Salakhutdinov",
"Ruslan",
""
]
] | Physically rearranging objects is an important capability for embodied agents. Visual room rearrangement evaluates an agent's ability to rearrange objects in a room to a desired goal based solely on visual input. We propose a simple yet effective method for this problem: (1) search for and map which objects need to be ... |
1611.01962 | Emmanuel Maggiori | Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat and Pierre
Alliez | High-Resolution Semantic Labeling with Convolutional Neural Networks | null | null | 10.1109/TGRS.2017.2740362 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional neural networks (CNNs) have received increasing attention over
the last few years. They were initially conceived for image categorization,
i.e., the problem of assigning a semantic label to an entire input image.
In this paper we address the problem of dense semantic labeling, which
consists in assign... | [
{
"created": "Mon, 7 Nov 2016 10:02:49 GMT",
"version": "v1"
}
] | 2018-02-14 | [
[
"Maggiori",
"Emmanuel",
""
],
[
"Tarabalka",
"Yuliya",
""
],
[
"Charpiat",
"Guillaume",
""
],
[
"Alliez",
"Pierre",
""
]
] | Convolutional neural networks (CNNs) have received increasing attention over the last few years. They were initially conceived for image categorization, i.e., the problem of assigning a semantic label to an entire input image. In this paper we address the problem of dense semantic labeling, which consists in assigning ... |
2303.09044 | Soufiane Belharbi | Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed,
Luke McCaffrey, Eric Granger | CoLo-CAM: Class Activation Mapping for Object Co-Localization in
Weakly-Labeled Unconstrained Videos | 18 pages, 6 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Leveraging spatiotemporal information in videos is critical for weakly
supervised video object localization (WSVOL) tasks. However, state-of-the-art
methods only rely on visual and motion cues, while discarding discriminative
information, making them susceptible to inaccurate localizations. Recently,
discriminative m... | [
{
"created": "Thu, 16 Mar 2023 02:29:53 GMT",
"version": "v1"
},
{
"created": "Sat, 2 Sep 2023 00:01:48 GMT",
"version": "v2"
},
{
"created": "Tue, 27 Feb 2024 06:24:31 GMT",
"version": "v3"
},
{
"created": "Wed, 28 Feb 2024 13:53:28 GMT",
"version": "v4"
}
] | 2024-02-29 | [
[
"Belharbi",
"Soufiane",
""
],
[
"Murtaza",
"Shakeeb",
""
],
[
"Pedersoli",
"Marco",
""
],
[
"Ayed",
"Ismail Ben",
""
],
[
"McCaffrey",
"Luke",
""
],
[
"Granger",
"Eric",
""
]
] | Leveraging spatiotemporal information in videos is critical for weakly supervised video object localization (WSVOL) tasks. However, state-of-the-art methods only rely on visual and motion cues, while discarding discriminative information, making them susceptible to inaccurate localizations. Recently, discriminative mod... |
1911.08802 | Gangxiang Shen | Shifeng Ding, Kevin X. Pan, Sanjay K. Bose, Qiong Zhang, and Gangxiang
Shen | Blockchain-Assisted Spectrum Trading between Elastic Virtual Optical
Networks | 7 pages, 5 figures | null | null | null | cs.NI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In communication networks, network virtualization can usually provide better
capacity utilization and quality of service (QoS) than what can be achieved
otherwise. However, conventional resource allocation for virtualized networks
would still follow a fixed pattern based on the predicted capacity needs of the
users, ... | [
{
"created": "Wed, 20 Nov 2019 10:22:37 GMT",
"version": "v1"
}
] | 2019-11-21 | [
[
"Ding",
"Shifeng",
""
],
[
"Pan",
"Kevin X.",
""
],
[
"Bose",
"Sanjay K.",
""
],
[
"Zhang",
"Qiong",
""
],
[
"Shen",
"Gangxiang",
""
]
] | In communication networks, network virtualization can usually provide better capacity utilization and quality of service (QoS) than what can be achieved otherwise. However, conventional resource allocation for virtualized networks would still follow a fixed pattern based on the predicted capacity needs of the users, ev... |
2407.09083 | Zekai Xu | Zekai Xu, Kang You, Qinghai Guo, Xiang Wang and Zhezhi He | BKDSNN: Enhancing the Performance of Learning-based Spiking Neural
Networks Training with Blurred Knowledge Distillation | accepted by European Conference on Computer Vision (ECCV) 2024 | null | null | null | cs.NE | http://creativecommons.org/licenses/by/4.0/ | Spiking neural networks (SNNs), which mimic biological neural system to
convey information via discrete spikes, are well known as brain-inspired models
with excellent computing efficiency. By utilizing the surrogate gradient
estimation for discrete spikes, learning-based SNN training methods that can
achieve ultra-lo... | [
{
"created": "Fri, 12 Jul 2024 08:17:24 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Jul 2024 02:19:34 GMT",
"version": "v2"
}
] | 2024-07-16 | [
[
"Xu",
"Zekai",
""
],
[
"You",
"Kang",
""
],
[
"Guo",
"Qinghai",
""
],
[
"Wang",
"Xiang",
""
],
[
"He",
"Zhezhi",
""
]
] | Spiking neural networks (SNNs), which mimic biological neural system to convey information via discrete spikes, are well known as brain-inspired models with excellent computing efficiency. By utilizing the surrogate gradient estimation for discrete spikes, learning-based SNN training methods that can achieve ultra-low ... |
1607.05447 | Stephen Gould | Stephen Gould and Basura Fernando and Anoop Cherian and Peter Anderson
and Rodrigo Santa Cruz and Edison Guo | On Differentiating Parameterized Argmin and Argmax Problems with
Application to Bi-level Optimization | 16 pages, 6 figures | null | null | null | cs.CV math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Some recent works in machine learning and computer vision involve the
solution of a bi-level optimization problem. Here the solution of a
parameterized lower-level problem binds variables that appear in the objective
of an upper-level problem. The lower-level problem typically appears as an
argmin or argmax optimizat... | [
{
"created": "Tue, 19 Jul 2016 08:09:30 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Jul 2016 03:43:35 GMT",
"version": "v2"
}
] | 2016-07-22 | [
[
"Gould",
"Stephen",
""
],
[
"Fernando",
"Basura",
""
],
[
"Cherian",
"Anoop",
""
],
[
"Anderson",
"Peter",
""
],
[
"Cruz",
"Rodrigo Santa",
""
],
[
"Guo",
"Edison",
""
]
] | Some recent works in machine learning and computer vision involve the solution of a bi-level optimization problem. Here the solution of a parameterized lower-level problem binds variables that appear in the objective of an upper-level problem. The lower-level problem typically appears as an argmin or argmax optimizatio... |
2306.15612 | Peng Xu | Peng Xu, Zhiyu Xiang, Chenyu Qiao, Jingyun Fu, Tianyu Pu | Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the great success of deep learning in stereo matching, recovering
accurate disparity maps is still challenging. Currently, L1 and cross-entropy
are the two most widely used losses for stereo network training. Compared with
the former, the latter usually performs better thanks to its probability
modeling and d... | [
{
"created": "Tue, 27 Jun 2023 16:53:35 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Mar 2024 10:04:38 GMT",
"version": "v2"
}
] | 2024-03-18 | [
[
"Xu",
"Peng",
""
],
[
"Xiang",
"Zhiyu",
""
],
[
"Qiao",
"Chenyu",
""
],
[
"Fu",
"Jingyun",
""
],
[
"Pu",
"Tianyu",
""
]
] | Despite the great success of deep learning in stereo matching, recovering accurate disparity maps is still challenging. Currently, L1 and cross-entropy are the two most widely used losses for stereo network training. Compared with the former, the latter usually performs better thanks to its probability modeling and dir... |
2405.09355 | Gary Sarwin | Gary Sarwin, Alessandro Carretta, Victor Staartjes, Matteo Zoli, Diego
Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu | Vision-Based Neurosurgical Guidance: Unsupervised Localization and
Camera-Pose Prediction | Early Accept at MICCAI 2024 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Localizing oneself during endoscopic procedures can be problematic due to the
lack of distinguishable textures and landmarks, as well as difficulties due to
the endoscopic device such as a limited field of view and challenging lighting
conditions. Expert knowledge shaped by years of experience is required for
localiz... | [
{
"created": "Wed, 15 May 2024 14:09:11 GMT",
"version": "v1"
}
] | 2024-05-16 | [
[
"Sarwin",
"Gary",
""
],
[
"Carretta",
"Alessandro",
""
],
[
"Staartjes",
"Victor",
""
],
[
"Zoli",
"Matteo",
""
],
[
"Mazzatenta",
"Diego",
""
],
[
"Regli",
"Luca",
""
],
[
"Serra",
"Carlo",
""
],
[
... | Localizing oneself during endoscopic procedures can be problematic due to the lack of distinguishable textures and landmarks, as well as difficulties due to the endoscopic device such as a limited field of view and challenging lighting conditions. Expert knowledge shaped by years of experience is required for localizat... |
2006.15904 | Hazel Murray | Hazel Murray and David Malone | Multi-armed bandit approach to password guessing | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The multi-armed bandit is a mathematical interpretation of the problem a
gambler faces when confronted with a number of different machines (bandits).
The gambler wants to explore different machines to discover which machine
offers the best rewards, but simultaneously wants to exploit the most
profitable machine. A pa... | [
{
"created": "Mon, 29 Jun 2020 09:50:55 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Jul 2020 10:43:50 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Aug 2020 16:59:09 GMT",
"version": "v3"
}
] | 2020-08-06 | [
[
"Murray",
"Hazel",
""
],
[
"Malone",
"David",
""
]
] | The multi-armed bandit is a mathematical interpretation of the problem a gambler faces when confronted with a number of different machines (bandits). The gambler wants to explore different machines to discover which machine offers the best rewards, but simultaneously wants to exploit the most profitable machine. A pass... |
2206.03487 | Evgenii Vityaev | E.E. Vityaev, A.G. Kolonin, A.V. Kurpatov A.A. Molchanov | Formalization of the principles of brain Programming (Brain Principles
Programming) | 28 pages, in Russian, 4 figures | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the monograph "Strong artificial intelligence. On the Approaches to
Superintelligence" contains an overview of general artificial intelligence
(AGI). As an anthropomorphic research area, it includes Brain Principles
Programming (BPP) -- the formalization of universal mechanisms (principles) of
the brain work with ... | [
{
"created": "Fri, 13 May 2022 13:16:34 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Jun 2022 13:45:08 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Jun 2022 02:26:12 GMT",
"version": "v3"
}
] | 2022-06-16 | [
[
"Vityaev",
"E. E.",
""
],
[
"Kolonin",
"A. G.",
""
],
[
"Molchanov",
"A. V. Kurpatov A. A.",
""
]
] | In the monograph "Strong artificial intelligence. On the Approaches to Superintelligence" contains an overview of general artificial intelligence (AGI). As an anthropomorphic research area, it includes Brain Principles Programming (BPP) -- the formalization of universal mechanisms (principles) of the brain work with in... |
2402.01515 | Chiwun Yang | Yichuan Deng, Zhao Song, Chiwun Yang | Enhancing Stochastic Gradient Descent: A Unified Framework and Novel
Acceleration Methods for Faster Convergence | null | null | null | null | cs.LG cs.AI math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Based on SGD, previous works have proposed many algorithms that have improved
convergence speed and generalization in stochastic optimization, such as SGDm,
AdaGrad, Adam, etc. However, their convergence analysis under non-convex
conditions is challenging. In this work, we propose a unified framework to
address this ... | [
{
"created": "Fri, 2 Feb 2024 15:55:25 GMT",
"version": "v1"
}
] | 2024-02-05 | [
[
"Deng",
"Yichuan",
""
],
[
"Song",
"Zhao",
""
],
[
"Yang",
"Chiwun",
""
]
] | Based on SGD, previous works have proposed many algorithms that have improved convergence speed and generalization in stochastic optimization, such as SGDm, AdaGrad, Adam, etc. However, their convergence analysis under non-convex conditions is challenging. In this work, we propose a unified framework to address this is... |
2108.10565 | Sebastian Wolf | Sebastian Wolf and Martin Galis and Carsten Uphoff and Alice-Agnes
Gabriel and Peter Moczo and David Gregor and Michael Bader | An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of
Seismic Waves in Poroelastic Media | 37 pages, 18 figures, published in the Journal of Computational
Physics | Journal of Computational Physics: Volume 455, 2022 | 10.1016/j.jcp.2021.110886 | null | cs.DC cs.MS physics.comp-ph physics.geo-ph | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Many applications from geosciences require simulations of seismic waves in
porous media. Biot's theory of poroelasticity describes the coupling between
solid and fluid phases and introduces a stiff source term, thereby increasing
computational cost and motivating efficient methods utilising High-Performance
Computing... | [
{
"created": "Tue, 24 Aug 2021 08:04:13 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Aug 2021 07:14:38 GMT",
"version": "v2"
},
{
"created": "Tue, 1 Mar 2022 08:30:49 GMT",
"version": "v3"
}
] | 2022-03-02 | [
[
"Wolf",
"Sebastian",
""
],
[
"Galis",
"Martin",
""
],
[
"Uphoff",
"Carsten",
""
],
[
"Gabriel",
"Alice-Agnes",
""
],
[
"Moczo",
"Peter",
""
],
[
"Gregor",
"David",
""
],
[
"Bader",
"Michael",
""
]
] | Many applications from geosciences require simulations of seismic waves in porous media. Biot's theory of poroelasticity describes the coupling between solid and fluid phases and introduces a stiff source term, thereby increasing computational cost and motivating efficient methods utilising High-Performance Computing. ... |
2107.05049 | Attique Ur Rehman | TahirMohammadAli, Attique Ur Rehman, AliNawaz, Wasi Haider Butt | An Adaptive E-Learning System Using Justification Based Truth
Maintenance System | null | Pakistan Journal of Engineering and Technology, Vol. 4, no. 2,
June 2021, pp. 44-48 | null | null | cs.SE | http://creativecommons.org/licenses/by-sa/4.0/ | In most E learning systems educational activities are presented in a static
way without bearing in mind the particulars or student levels and skills.
Personalization and adaptation of an E learning management system are dependent
on the flexibility of the system in providing different learning and content
models to i... | [
{
"created": "Sun, 11 Jul 2021 13:49:45 GMT",
"version": "v1"
}
] | 2021-07-13 | [
[
"TahirMohammadAli",
"",
""
],
[
"Rehman",
"Attique Ur",
""
],
[
"AliNawaz",
"",
""
],
[
"Butt",
"Wasi Haider",
""
]
] | In most E learning systems educational activities are presented in a static way without bearing in mind the particulars or student levels and skills. Personalization and adaptation of an E learning management system are dependent on the flexibility of the system in providing different learning and content models to ind... |
2307.02007 | Liu Chenglong | Chenglong Liu | Remote Sensing Image Change Detection with Graph Interaction | null | null | null | null | cs.CV cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern remote sensing image change detection has witnessed substantial
advancements by harnessing the potent feature extraction capabilities of CNNs
and Transforms.Yet,prevailing change detection techniques consistently
prioritize extracting semantic features related to significant
alterations,overlooking the viabili... | [
{
"created": "Wed, 5 Jul 2023 03:32:49 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Liu",
"Chenglong",
""
]
] | Modern remote sensing image change detection has witnessed substantial advancements by harnessing the potent feature extraction capabilities of CNNs and Transforms.Yet,prevailing change detection techniques consistently prioritize extracting semantic features related to significant alterations,overlooking the viability... |
1410.0176 | David Lillis | David Lillis, Rem Collier, Mauro Dragone, G. M. P. O'Hare | An Agent-Based Approach to Component Management | In Proceedings of the 8th International Conference on Autonomous
Agents and Multi-Agent Systems (AAMAS '09), Budapest, Hungary, 2009 | null | 10.1145/1558013.1558086 | null | cs.MA cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper details the implementation of a software framework that aids the
development of distributed and self-configurable software systems. This
framework is an instance of a novel integration strategy called SoSAA (SOcially
Situated Agent Architecture), which combines Component-Based Software
Engineering and Agen... | [
{
"created": "Wed, 1 Oct 2014 10:55:44 GMT",
"version": "v1"
}
] | 2014-10-02 | [
[
"Lillis",
"David",
""
],
[
"Collier",
"Rem",
""
],
[
"Dragone",
"Mauro",
""
],
[
"O'Hare",
"G. M. P.",
""
]
] | This paper details the implementation of a software framework that aids the development of distributed and self-configurable software systems. This framework is an instance of a novel integration strategy called SoSAA (SOcially Situated Agent Architecture), which combines Component-Based Software Engineering and Agent-... |
2310.20425 | Marcus Haywood-Alexander | Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni
Chatzi | Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
on Structural Mechanics Applications | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | The intersection of physics and machine learning has given rise to the
physics-enhanced machine learning (PEML) paradigm, aiming to improve the
capabilities and reduce the individual shortcomings of data- or physics-only
methods. In this paper, the spectrum of physics-enhanced machine learning
methods, expressed acro... | [
{
"created": "Tue, 31 Oct 2023 12:50:25 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Nov 2023 08:21:02 GMT",
"version": "v2"
},
{
"created": "Mon, 22 Apr 2024 11:42:02 GMT",
"version": "v3"
}
] | 2024-04-23 | [
[
"Haywood-Alexander",
"Marcus",
""
],
[
"Liu",
"Wei",
""
],
[
"Bacsa",
"Kiran",
""
],
[
"Lai",
"Zhilu",
""
],
[
"Chatzi",
"Eleni",
""
]
] | The intersection of physics and machine learning has given rise to the physics-enhanced machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the individual shortcomings of data- or physics-only methods. In this paper, the spectrum of physics-enhanced machine learning methods, expressed across... |
2010.13972 | Rory Mitchell | Rory Mitchell, Eibe Frank, Geoffrey Holmes | GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for
Tree Ensembles | null | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | SHAP (SHapley Additive exPlanation) values provide a game theoretic
interpretation of the predictions of machine learning models based on Shapley
values. While exact calculation of SHAP values is computationally intractable
in general, a recursive polynomial-time algorithm called TreeShap is available
for decision tr... | [
{
"created": "Tue, 27 Oct 2020 00:55:07 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Jul 2021 22:54:35 GMT",
"version": "v2"
},
{
"created": "Thu, 3 Feb 2022 11:53:13 GMT",
"version": "v3"
}
] | 2022-02-04 | [
[
"Mitchell",
"Rory",
""
],
[
"Frank",
"Eibe",
""
],
[
"Holmes",
"Geoffrey",
""
]
] | SHAP (SHapley Additive exPlanation) values provide a game theoretic interpretation of the predictions of machine learning models based on Shapley values. While exact calculation of SHAP values is computationally intractable in general, a recursive polynomial-time algorithm called TreeShap is available for decision tree... |
1908.11527 | Le Fang | Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong and Changyou Chen | Implicit Deep Latent Variable Models for Text Generation | 13 pages, 8 Tables, 1 Figure, Accepted at 2019 Conference on
Empirical Methods in Natural Language Processing (EMNLP 2019) | null | null | null | cs.LG cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep latent variable models (LVM) such as variational auto-encoder (VAE) have
recently played an important role in text generation. One key factor is the
exploitation of smooth latent structures to guide the generation. However, the
representation power of VAEs is limited due to two reasons: (1) the Gaussian
assumpti... | [
{
"created": "Fri, 30 Aug 2019 04:12:08 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Sep 2019 05:48:05 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Nov 2019 19:53:57 GMT",
"version": "v3"
}
] | 2019-12-02 | [
[
"Fang",
"Le",
""
],
[
"Li",
"Chunyuan",
""
],
[
"Gao",
"Jianfeng",
""
],
[
"Dong",
"Wen",
""
],
[
"Chen",
"Changyou",
""
]
] | Deep latent variable models (LVM) such as variational auto-encoder (VAE) have recently played an important role in text generation. One key factor is the exploitation of smooth latent structures to guide the generation. However, the representation power of VAEs is limited due to two reasons: (1) the Gaussian assumption... |
2403.01427 | Shangquan Sun | Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang and Xiaochun Cao | Logit Standardization in Knowledge Distillation | 10 pages, 5 figures, accepted by The The IEEE / CVF Computer Vision
and Pattern Recognition Conference (CVPR 2024) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge distillation involves transferring soft labels from a teacher to a
student using a shared temperature-based softmax function. However, the
assumption of a shared temperature between teacher and student implies a
mandatory exact match between their logits in terms of logit range and
variance. This side-effec... | [
{
"created": "Sun, 3 Mar 2024 07:54:03 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Sun",
"Shangquan",
""
],
[
"Ren",
"Wenqi",
""
],
[
"Li",
"Jingzhi",
""
],
[
"Wang",
"Rui",
""
],
[
"Cao",
"Xiaochun",
""
]
] | Knowledge distillation involves transferring soft labels from a teacher to a student using a shared temperature-based softmax function. However, the assumption of a shared temperature between teacher and student implies a mandatory exact match between their logits in terms of logit range and variance. This side-effect ... |
1909.07654 | Tomaso Fontanini | Tomaso Fontanini, Eleonora Iotti and Andrea Prati | MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial
Colorization | null | null | null | null | cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, the majority of works on deep-learning-based image
colorization have focused on how to make a good use of the enormous datasets
currently available. What about when the data at disposal are scarce? The main
objective of this work is to prove that a network can be trained and can
provide excellent col... | [
{
"created": "Tue, 17 Sep 2019 08:54:12 GMT",
"version": "v1"
}
] | 2019-09-18 | [
[
"Fontanini",
"Tomaso",
""
],
[
"Iotti",
"Eleonora",
""
],
[
"Prati",
"Andrea",
""
]
] | In recent years, the majority of works on deep-learning-based image colorization have focused on how to make a good use of the enormous datasets currently available. What about when the data at disposal are scarce? The main objective of this work is to prove that a network can be trained and can provide excellent color... |
1701.01911 | Nannan Wang | Nannan Wang and Xinbo Gao and Jie Li | Random Sampling for Fast Face Sketch Synthesis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Exemplar-based face sketch synthesis plays an important role in both digital
entertainment and law enforcement. It generally consists of two parts: neighbor
selection and reconstruction weight representation. The most time-consuming or
main computation complexity for exemplar-based face sketch synthesis methods
lies ... | [
{
"created": "Sun, 8 Jan 2017 03:47:59 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Aug 2017 02:43:48 GMT",
"version": "v2"
}
] | 2017-08-14 | [
[
"Wang",
"Nannan",
""
],
[
"Gao",
"Xinbo",
""
],
[
"Li",
"Jie",
""
]
] | Exemplar-based face sketch synthesis plays an important role in both digital entertainment and law enforcement. It generally consists of two parts: neighbor selection and reconstruction weight representation. The most time-consuming or main computation complexity for exemplar-based face sketch synthesis methods lies in... |
2008.13284 | Weichen Li | Weichen Li and Xiaojia Shelly Zhang | Momentum-based Accelerated Mirror Descent Stochastic Approximation for
Robust Topology Optimization under Stochastic Loads | 38 pages (including reference) | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robust topology optimization (RTO) improves the robustness of designs with
respect to random sources in real-world structures, yet an accurate sensitivity
analysis requires the solution of many systems of equations at each
optimization step, leading to a high computational cost. To open up the full
potential of RTO u... | [
{
"created": "Sun, 30 Aug 2020 21:51:51 GMT",
"version": "v1"
}
] | 2020-09-01 | [
[
"Li",
"Weichen",
""
],
[
"Zhang",
"Xiaojia Shelly",
""
]
] | Robust topology optimization (RTO) improves the robustness of designs with respect to random sources in real-world structures, yet an accurate sensitivity analysis requires the solution of many systems of equations at each optimization step, leading to a high computational cost. To open up the full potential of RTO und... |
1508.01927 | Keehang Kwon | Keehang Kwon | Incorporating Inductions and Game Semantics into Logic Programming | 11 pages. arXiv admin note: substantial text overlap with
arXiv:1507.07228 | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inductions and game semantics are two useful extensions to traditional logic
programming. To be specific, inductions can capture a wider class of provable
formulas in logic programming. Adopting game semantics can make logic
programming more interactive.
In this paper, we propose an execution model for a logic lang... | [
{
"created": "Sat, 8 Aug 2015 17:14:09 GMT",
"version": "v1"
}
] | 2015-08-11 | [
[
"Kwon",
"Keehang",
""
]
] | Inductions and game semantics are two useful extensions to traditional logic programming. To be specific, inductions can capture a wider class of provable formulas in logic programming. Adopting game semantics can make logic programming more interactive. In this paper, we propose an execution model for a logic language... |
2008.00302 | Radu Tudor Ionescu | Mihail Burduja, Radu Tudor Ionescu and Nicolae Verga | Accurate and Efficient Intracranial Hemorrhage Detection and Subtype
Classification in 3D CT Scans with Convolutional and Long Short-Term Memory
Neural Networks | Accepted at Sensors | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present our system for the RSNA Intracranial Hemorrhage
Detection challenge. The proposed system is based on a lightweight deep neural
network architecture composed of a convolutional neural network (CNN) that
takes as input individual CT slices, and a Long Short-Term Memory (LSTM)
network that take... | [
{
"created": "Sat, 1 Aug 2020 17:28:25 GMT",
"version": "v1"
},
{
"created": "Sun, 27 Sep 2020 08:05:21 GMT",
"version": "v2"
},
{
"created": "Tue, 29 Sep 2020 14:55:07 GMT",
"version": "v3"
}
] | 2020-09-30 | [
[
"Burduja",
"Mihail",
""
],
[
"Ionescu",
"Radu Tudor",
""
],
[
"Verga",
"Nicolae",
""
]
] | In this paper, we present our system for the RSNA Intracranial Hemorrhage Detection challenge. The proposed system is based on a lightweight deep neural network architecture composed of a convolutional neural network (CNN) that takes as input individual CT slices, and a Long Short-Term Memory (LSTM) network that takes ... |
2207.09080 | Qun Li | Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao,
Said F. Al-Sarawi, Derek Abbott | MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving
Quantized Federated Learning | 13 pages,13 figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning (FL), a distributed machine learning paradigm, has been
adapted to mitigate privacy concerns for customers. Despite their appeal, there
are various inference attacks that can exploit shared-plaintext model updates
to embed traces of customer private information, leading to serious privacy
concerns.... | [
{
"created": "Tue, 19 Jul 2022 05:30:25 GMT",
"version": "v1"
}
] | 2022-07-20 | [
[
"Ma",
"Hua",
""
],
[
"Li",
"Qun",
""
],
[
"Zheng",
"Yifeng",
""
],
[
"Zhang",
"Zhi",
""
],
[
"Liu",
"Xiaoning",
""
],
[
"Gao",
"Yansong",
""
],
[
"Al-Sarawi",
"Said F.",
""
],
[
"Abbott",
"Derek... | Federated Learning (FL), a distributed machine learning paradigm, has been adapted to mitigate privacy concerns for customers. Despite their appeal, there are various inference attacks that can exploit shared-plaintext model updates to embed traces of customer private information, leading to serious privacy concerns. T... |
2103.09072 | Giulia Belgiovine | Jonas Gonzalez-Billandon, Giulia Belgiovine, Alessandra Sciutti,
Giulio Sandini, Francesco Rea | Cognitive architecture aided by working-memory for self-supervised
multi-modal humans recognition | Submitted to the IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS) | null | null | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to recognize human partners is an important social skill to build
personalized and long-term human-robot interactions, especially in scenarios
like education, care-giving, and rehabilitation. Faces and voices constitute
two important sources of information to enable artificial systems to reliably
recogniz... | [
{
"created": "Tue, 16 Mar 2021 13:50:24 GMT",
"version": "v1"
}
] | 2021-03-17 | [
[
"Gonzalez-Billandon",
"Jonas",
""
],
[
"Belgiovine",
"Giulia",
""
],
[
"Sciutti",
"Alessandra",
""
],
[
"Sandini",
"Giulio",
""
],
[
"Rea",
"Francesco",
""
]
] | The ability to recognize human partners is an important social skill to build personalized and long-term human-robot interactions, especially in scenarios like education, care-giving, and rehabilitation. Faces and voices constitute two important sources of information to enable artificial systems to reliably recognize ... |
2407.03922 | Antoine Legouhy | Antoine Legouhy, Ross Callaghan, Hojjat Azadbakht and Hui Zhang | POLAFFINI: Efficient feature-based polyaffine initialization for
improved non-linear image registration | submitted and accepted to IPMI 2023 | Information Processing in Medical Imaging. IPMI 2023. Lecture
Notes in Computer Science, vol 13939. Springer, Cham | 10.1007/978-3-031-34048-2_47 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | This paper presents an efficient feature-based approach to initialize
non-linear image registration. Today, nonlinear image registration is dominated
by methods relying on intensity-based similarity measures. A good estimate of
the initial transformation is essential, both for traditional iterative
algorithms and for... | [
{
"created": "Thu, 4 Jul 2024 13:36:29 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Jul 2024 08:47:44 GMT",
"version": "v2"
}
] | 2024-07-10 | [
[
"Legouhy",
"Antoine",
""
],
[
"Callaghan",
"Ross",
""
],
[
"Azadbakht",
"Hojjat",
""
],
[
"Zhang",
"Hui",
""
]
] | This paper presents an efficient feature-based approach to initialize non-linear image registration. Today, nonlinear image registration is dominated by methods relying on intensity-based similarity measures. A good estimate of the initial transformation is essential, both for traditional iterative algorithms and for r... |
1705.08632 | J\"urgen Koslowski | Horatiu Cirstea, Serguei Lenglet, Pierre-Etienne Moreau | Faithful (meta-)encodings of programmable strategies into term rewriting
systems | null | Logical Methods in Computer Science, Volume 13, Issue 4 (November
28, 2017) lmcs:4096 | 10.23638/LMCS-13(4:16)2017 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rewriting is a formalism widely used in computer science and mathematical
logic. When using rewriting as a programming or modeling paradigm, the rewrite
rules describe the transformations one wants to operate and rewriting
strategies are used to con- trol their application. The operational semantics
of these strategi... | [
{
"created": "Wed, 24 May 2017 07:06:41 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Nov 2017 01:07:37 GMT",
"version": "v2"
}
] | 2019-03-14 | [
[
"Cirstea",
"Horatiu",
""
],
[
"Lenglet",
"Serguei",
""
],
[
"Moreau",
"Pierre-Etienne",
""
]
] | Rewriting is a formalism widely used in computer science and mathematical logic. When using rewriting as a programming or modeling paradigm, the rewrite rules describe the transformations one wants to operate and rewriting strategies are used to con- trol their application. The operational semantics of these strategies... |
2202.09587 | Shiliang Zhang | Shiliang Zhang, Anton Hagermalm, Sanjin Slavnic, Elad Michael
Schiller, Magnus Almgren | Evaluation of Open-source Tools for Differential Privacy | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Differential privacy (DP) defines privacy protection by promising quantified
indistinguishability between individuals that consent to share their
privacy-sensitive information and the ones that do not. DP aims to deliver this
promise by including well-crafted elements of random noise in the published
data and thus th... | [
{
"created": "Sat, 19 Feb 2022 12:14:13 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Apr 2022 13:19:29 GMT",
"version": "v2"
},
{
"created": "Tue, 24 May 2022 13:08:49 GMT",
"version": "v3"
}
] | 2022-05-25 | [
[
"Zhang",
"Shiliang",
""
],
[
"Hagermalm",
"Anton",
""
],
[
"Slavnic",
"Sanjin",
""
],
[
"Schiller",
"Elad Michael",
""
],
[
"Almgren",
"Magnus",
""
]
] | Differential privacy (DP) defines privacy protection by promising quantified indistinguishability between individuals that consent to share their privacy-sensitive information and the ones that do not. DP aims to deliver this promise by including well-crafted elements of random noise in the published data and thus ther... |
2303.01091 | Gaochao Song | Gaochao Song, Luo Zhang, Ran Su, Jianfeng Shi, Ying He, Qian Sun | OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free
Upsampling Module in Arbitrary-scale Image Super-Resolution | Accepted by CVPR 2023. 11 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Implicit neural representation (INR) is a popular approach for
arbitrary-scale image super-resolution (SR), as a key component of INR,
position encoding improves its representation ability. Motivated by position
encoding, we propose orthogonal position encoding (OPE) - an extension of
position encoding - and an OPE-U... | [
{
"created": "Thu, 2 Mar 2023 09:26:14 GMT",
"version": "v1"
}
] | 2023-03-03 | [
[
"Song",
"Gaochao",
""
],
[
"Zhang",
"Luo",
""
],
[
"Su",
"Ran",
""
],
[
"Shi",
"Jianfeng",
""
],
[
"He",
"Ying",
""
],
[
"Sun",
"Qian",
""
]
] | Implicit neural representation (INR) is a popular approach for arbitrary-scale image super-resolution (SR), as a key component of INR, position encoding improves its representation ability. Motivated by position encoding, we propose orthogonal position encoding (OPE) - an extension of position encoding - and an OPE-Ups... |
2404.01730 | Ahmad Beirami | Joy Qiping Yang and Salman Salamatian and Ziteng Sun and Ananda
Theertha Suresh and Ahmad Beirami | Asymptotics of Language Model Alignment | null | null | null | null | cs.LG cs.IT math.IT stat.ML | http://creativecommons.org/licenses/by/4.0/ | Let $p$ denote a generative language model. Let $r$ denote a reward model
that returns a scalar that captures the degree at which a draw from $p$ is
preferred. The goal of language model alignment is to alter $p$ to a new
distribution $\phi$ that results in a higher expected reward while keeping
$\phi$ close to $p.$ ... | [
{
"created": "Tue, 2 Apr 2024 08:40:07 GMT",
"version": "v1"
}
] | 2024-04-03 | [
[
"Yang",
"Joy Qiping",
""
],
[
"Salamatian",
"Salman",
""
],
[
"Sun",
"Ziteng",
""
],
[
"Suresh",
"Ananda Theertha",
""
],
[
"Beirami",
"Ahmad",
""
]
] | Let $p$ denote a generative language model. Let $r$ denote a reward model that returns a scalar that captures the degree at which a draw from $p$ is preferred. The goal of language model alignment is to alter $p$ to a new distribution $\phi$ that results in a higher expected reward while keeping $\phi$ close to $p.$ A ... |
1708.05908 | Stojan Trajanovski | Stojan Trajanovski, Fernando A. Kuipers, Yezekael Hayel, Eitan Altman
and Piet Van Mieghem | Designing virus-resistant, high-performance networks: a game-formation
approach | accepted for publication in IEEE Transactions on Control of Network
Systems | null | 10.1109/TCNS.2017.2747840 | null | cs.GT cs.NI cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Designing an optimal network topology while balancing multiple, possibly
conflicting objectives like cost, performance, and resiliency to viruses is a
challenging endeavor, let alone in the case of decentralized network formation.
We therefore propose a game-formation technique where each player aims to
minimize its ... | [
{
"created": "Sat, 19 Aug 2017 22:48:39 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Aug 2017 23:12:48 GMT",
"version": "v2"
},
{
"created": "Sun, 1 Oct 2017 16:26:07 GMT",
"version": "v3"
}
] | 2017-10-03 | [
[
"Trajanovski",
"Stojan",
""
],
[
"Kuipers",
"Fernando A.",
""
],
[
"Hayel",
"Yezekael",
""
],
[
"Altman",
"Eitan",
""
],
[
"Van Mieghem",
"Piet",
""
]
] | Designing an optimal network topology while balancing multiple, possibly conflicting objectives like cost, performance, and resiliency to viruses is a challenging endeavor, let alone in the case of decentralized network formation. We therefore propose a game-formation technique where each player aims to minimize its co... |
1709.05262 | Vikas Garg | Vikas K. Garg, Adam Kalai | Supervising Unsupervised Learning | 11 two column pages. arXiv admin note: substantial text overlap with
arXiv:1612.09030 | null | null | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a framework to leverage knowledge acquired from a repository of
(heterogeneous) supervised datasets to new unsupervised datasets. Our
perspective avoids the subjectivity inherent in unsupervised learning by
reducing it to supervised learning, and provides a principled way to evaluate
unsupervised algorit... | [
{
"created": "Thu, 14 Sep 2017 14:42:41 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Feb 2018 14:08:39 GMT",
"version": "v2"
}
] | 2018-02-19 | [
[
"Garg",
"Vikas K.",
""
],
[
"Kalai",
"Adam",
""
]
] | We introduce a framework to leverage knowledge acquired from a repository of (heterogeneous) supervised datasets to new unsupervised datasets. Our perspective avoids the subjectivity inherent in unsupervised learning by reducing it to supervised learning, and provides a principled way to evaluate unsupervised algorithm... |
2209.10791 | Guangyu Chen | Guangyu Chen | Homophone Reveals the Truth: A Reality Check for Speech2Vec | Corrected typos | null | null | null | cs.CL cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Generating spoken word embeddings that possess semantic information is a
fascinating topic. Compared with text-based embeddings, they cover both
phonetic and semantic characteristics, which can provide richer information and
are potentially helpful for improving ASR and speech translation systems. In
this paper, we r... | [
{
"created": "Thu, 22 Sep 2022 05:32:09 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Sep 2022 11:10:15 GMT",
"version": "v2"
}
] | 2022-09-26 | [
[
"Chen",
"Guangyu",
""
]
] | Generating spoken word embeddings that possess semantic information is a fascinating topic. Compared with text-based embeddings, they cover both phonetic and semantic characteristics, which can provide richer information and are potentially helpful for improving ASR and speech translation systems. In this paper, we rev... |
1201.2995 | Rajathilagam Bijoy | B.Rajathilagam, Murali Rangarajan, K.P.Soman | G-Lets: Signal Processing Using Transformation Groups | 20 pages, 8 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an algorithm using transformation groups and their irreducible
representations to generate an orthogonal basis for a signal in the vector
space of the signal. It is shown that multiresolution analysis can be done with
amplitudes using a transformation group. G-lets is thus not a single transform,
but a gro... | [
{
"created": "Sat, 14 Jan 2012 07:18:06 GMT",
"version": "v1"
}
] | 2012-01-17 | [
[
"Rajathilagam",
"B.",
""
],
[
"Rangarajan",
"Murali",
""
],
[
"Soman",
"K. P.",
""
]
] | We present an algorithm using transformation groups and their irreducible representations to generate an orthogonal basis for a signal in the vector space of the signal. It is shown that multiresolution analysis can be done with amplitudes using a transformation group. G-lets is thus not a single transform, but a group... |
1902.10388 | Itsikiantsoa Randrianantenaina | Itsikiantsoa Randrianantenaina, Megumi Kaneko, Hayssam Dahrouj, Hesham
ElSawy, and Mohamed-Slim Alouini | Interference Management in NOMA-based Fog-Radio Access Networks via
Joint Scheduling and Power Adaptation | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-Orthogonal Multiple Access (NOMA) and Fog Radio Access Networks (FRAN)
are promising candidates within the 5G and beyond systems. This work examines
the benefit of adopting NOMA in an FRAN architecture with constrained capacity
fronthaul. The paper proposes methods for optimizing joint scheduling and power
adapta... | [
{
"created": "Wed, 27 Feb 2019 08:38:20 GMT",
"version": "v1"
}
] | 2019-02-28 | [
[
"Randrianantenaina",
"Itsikiantsoa",
""
],
[
"Kaneko",
"Megumi",
""
],
[
"Dahrouj",
"Hayssam",
""
],
[
"ElSawy",
"Hesham",
""
],
[
"Alouini",
"Mohamed-Slim",
""
]
] | Non-Orthogonal Multiple Access (NOMA) and Fog Radio Access Networks (FRAN) are promising candidates within the 5G and beyond systems. This work examines the benefit of adopting NOMA in an FRAN architecture with constrained capacity fronthaul. The paper proposes methods for optimizing joint scheduling and power adaptati... |
2401.11287 | Mikael Bisgaard Dahlsen-Jensen | Mikael Bisgaard Dahlsen-Jensen (1), Baptiste Fievet (2), Laure
Petrucci (2), Jaco van de Pol (1) ((1) Aarhus University, Aarhus, Denmark,
(2) Universit\'e Sorbonne Paris Nord CNRS, Villetaneuse, France) | On-The-Fly Algorithm for Reachability in Parametric Timed Games
(Extended Version) | 26 pages, 4 figures | null | null | null | cs.FL | http://creativecommons.org/licenses/by/4.0/ | Parametric Timed Games (PTG) are an extension of the model of Timed Automata.
They allow for the verification and synthesis of real-time systems, reactive to
their environmeand depending on adjustable parameters. Given a PTG and a
reachability objective, we synthesize the values of the parameters such that
the game i... | [
{
"created": "Sat, 20 Jan 2024 17:38:43 GMT",
"version": "v1"
}
] | 2024-01-23 | [
[
"Dahlsen-Jensen",
"Mikael Bisgaard",
""
],
[
"Fievet",
"Baptiste",
""
],
[
"Petrucci",
"Laure",
""
],
[
"van de Pol",
"Jaco",
""
]
] | Parametric Timed Games (PTG) are an extension of the model of Timed Automata. They allow for the verification and synthesis of real-time systems, reactive to their environmeand depending on adjustable parameters. Given a PTG and a reachability objective, we synthesize the values of the parameters such that the game is ... |
2205.12594 | Fatemeh Hadaeghi | Zohreh Ansari, Farzin Pourhoseini, Fatemeh Hadaeghi | Heterogeneous Reservoir Computing Models for Persian Speech Recognition | This paper was accepted for oral presentation in IEEE WCCI 2022 +
IJCNN 2022, special session on Reservoir Computing: algorithms,
implementations and applications | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Over the last decade, deep-learning methods have been gradually incorporated
into conventional automatic speech recognition (ASR) frameworks to create
acoustic, pronunciation, and language models. Although it led to significant
improvements in ASRs' recognition accuracy, due to their hard constraints
related to hardw... | [
{
"created": "Wed, 25 May 2022 09:15:15 GMT",
"version": "v1"
}
] | 2022-05-26 | [
[
"Ansari",
"Zohreh",
""
],
[
"Pourhoseini",
"Farzin",
""
],
[
"Hadaeghi",
"Fatemeh",
""
]
] | Over the last decade, deep-learning methods have been gradually incorporated into conventional automatic speech recognition (ASR) frameworks to create acoustic, pronunciation, and language models. Although it led to significant improvements in ASRs' recognition accuracy, due to their hard constraints related to hardwar... |
2406.09960 | Jannis Kiesel | Jannis Kiesel, Elias Gr\"unewald | Extending Business Process Management for Regulatory Transparency | Preprint, accepted to the BPM Forum 2024 | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ever-increasingly complex business processes are enabled by loosely coupled
cloud-native systems. In such fast-paced development environments, data
controllers face the challenge of capturing and updating all personal data
processing activities due to considerable communication overhead between
development teams and ... | [
{
"created": "Fri, 14 Jun 2024 12:08:34 GMT",
"version": "v1"
}
] | 2024-06-17 | [
[
"Kiesel",
"Jannis",
""
],
[
"Grünewald",
"Elias",
""
]
] | Ever-increasingly complex business processes are enabled by loosely coupled cloud-native systems. In such fast-paced development environments, data controllers face the challenge of capturing and updating all personal data processing activities due to considerable communication overhead between development teams and da... |
2307.03319 | Amir Globerson | Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal
Elidan, Reut Tsarfaty, Amir Globerson | Covering Uncommon Ground: Gap-Focused Question Generation for Answer
Assessment | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Human communication often involves information gaps between the
interlocutors. For example, in an educational dialogue, a student often
provides an answer that is incomplete, and there is a gap between this answer
and the perfect one expected by the teacher. Successful dialogue then hinges on
the teacher asking about... | [
{
"created": "Thu, 6 Jul 2023 22:21:42 GMT",
"version": "v1"
}
] | 2023-07-10 | [
[
"Rabin",
"Roni",
""
],
[
"Djerbetian",
"Alexandre",
""
],
[
"Engelberg",
"Roee",
""
],
[
"Hackmon",
"Lidan",
""
],
[
"Elidan",
"Gal",
""
],
[
"Tsarfaty",
"Reut",
""
],
[
"Globerson",
"Amir",
""
]
] | Human communication often involves information gaps between the interlocutors. For example, in an educational dialogue, a student often provides an answer that is incomplete, and there is a gap between this answer and the perfect one expected by the teacher. Successful dialogue then hinges on the teacher asking about t... |
cs/0603023 | Marcus Hutter | Viktor Zhumatiy and Faustino Gomez and Marcus Hutter and Juergen
Schmidhuber | Metric State Space Reinforcement Learning for a Vision-Capable Mobile
Robot | 14 pages, 8 figures | Proc. 9th International Conf. on Intelligent Autonomous Systems
(IAS 2006) pages 272-281 | null | IDSIA-05-06 | cs.RO cs.LG | null | We address the problem of autonomously learning controllers for
vision-capable mobile robots. We extend McCallum's (1995) Nearest-Sequence
Memory algorithm to allow for general metrics over state-action trajectories.
We demonstrate the feasibility of our approach by successfully running our
algorithm on a real mobile... | [
{
"created": "Tue, 7 Mar 2006 08:44:29 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Zhumatiy",
"Viktor",
""
],
[
"Gomez",
"Faustino",
""
],
[
"Hutter",
"Marcus",
""
],
[
"Schmidhuber",
"Juergen",
""
]
] | We address the problem of autonomously learning controllers for vision-capable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for general metrics over state-action trajectories. We demonstrate the feasibility of our approach by successfully running our algorithm on a real mobile r... |
2211.06385 | Md Vasimuddin | Md Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha | DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86
via Minibatch Sampling | null | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | Training Graph Neural Networks, on graphs containing billions of vertices and
edges, at scale using minibatch sampling poses a key challenge: strong-scaling
graphs and training examples results in lower compute and higher communication
volume and potential performance loss. DistGNN-MB employs a novel Historical
Embed... | [
{
"created": "Fri, 11 Nov 2022 18:07:33 GMT",
"version": "v1"
}
] | 2022-11-14 | [
[
"Vasimuddin",
"Md",
""
],
[
"Mohanty",
"Ramanarayan",
""
],
[
"Misra",
"Sanchit",
""
],
[
"Avancha",
"Sasikanth",
""
]
] | Training Graph Neural Networks, on graphs containing billions of vertices and edges, at scale using minibatch sampling poses a key challenge: strong-scaling graphs and training examples results in lower compute and higher communication volume and potential performance loss. DistGNN-MB employs a novel Historical Embeddi... |
2307.02105 | Matthias Barkowsky | Matthias Barkowsky and Holger Giese | Incremental Model Transformations with Triple Graph Grammars for
Multi-version Models | arXiv admin note: substantial text overlap with arXiv:2301.00623 | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Like conventional software projects, projects in model-driven software
engineering require adequate management of multiple versions of development
artifacts, importantly allowing living with temporary inconsistencies. In
previous work, multi-version models for model-driven software engineering have
been introduced, w... | [
{
"created": "Wed, 5 Jul 2023 08:26:18 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Jul 2023 12:49:21 GMT",
"version": "v2"
}
] | 2023-07-10 | [
[
"Barkowsky",
"Matthias",
""
],
[
"Giese",
"Holger",
""
]
] | Like conventional software projects, projects in model-driven software engineering require adequate management of multiple versions of development artifacts, importantly allowing living with temporary inconsistencies. In previous work, multi-version models for model-driven software engineering have been introduced, whi... |
2307.07313 | Oscar Carlsson | Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spie{\ss},
Fredrik Ohlsson, Christoffer Petersson, Daniel Persson | HEAL-SWIN: A Vision Transformer On The Sphere | Accepted as poster to CVPR 2024. Main body: 10 pages, 7 figures.
Appendices: 9 pages, 6 figures | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High-resolution wide-angle fisheye images are becoming more and more
important for robotics applications such as autonomous driving. However, using
ordinary convolutional neural networks or vision transformers on this data is
problematic due to projection and distortion losses introduced when projecting
to a rectangu... | [
{
"created": "Fri, 14 Jul 2023 12:46:59 GMT",
"version": "v1"
},
{
"created": "Wed, 8 May 2024 15:49:58 GMT",
"version": "v2"
}
] | 2024-05-09 | [
[
"Carlsson",
"Oscar",
""
],
[
"Gerken",
"Jan E.",
""
],
[
"Linander",
"Hampus",
""
],
[
"Spieß",
"Heiner",
""
],
[
"Ohlsson",
"Fredrik",
""
],
[
"Petersson",
"Christoffer",
""
],
[
"Persson",
"Daniel",
""
... | High-resolution wide-angle fisheye images are becoming more and more important for robotics applications such as autonomous driving. However, using ordinary convolutional neural networks or vision transformers on this data is problematic due to projection and distortion losses introduced when projecting to a rectangula... |
1701.00806 | Monique Laurent | Monique Laurent, Matteo Seminaroti, Shin-ichi Tanigawa | A Structural Characterization for Certifying Robinsonian Matrices | 21 pages, 1 figure | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A symmetric matrix is Robinsonian if its rows and columns can be
simultaneously reordered in such a way that entries are monotone nondecreasing
in rows and columns when moving toward the diagonal. The adjacency matrix of a
graph is Robinsonian precisely when the graph is a unit interval graph, so that
Robinsonian mat... | [
{
"created": "Tue, 3 Jan 2017 19:59:17 GMT",
"version": "v1"
}
] | 2018-11-20 | [
[
"Laurent",
"Monique",
""
],
[
"Seminaroti",
"Matteo",
""
],
[
"Tanigawa",
"Shin-ichi",
""
]
] | A symmetric matrix is Robinsonian if its rows and columns can be simultaneously reordered in such a way that entries are monotone nondecreasing in rows and columns when moving toward the diagonal. The adjacency matrix of a graph is Robinsonian precisely when the graph is a unit interval graph, so that Robinsonian matri... |
1402.5979 | Renato J Cintra | V. A. Coutinho, R. J. Cintra, F. M. Bayer, S. Kulasekera, A.
Madanayake | A Multiplierless Pruned DCT-like Transformation for Image and Video
Compression that Requires 10 Additions Only | 13 pages, 4 figures, 5 tables | Journal of Real-Time Image Processing, August 2016, Volume 12,
Issue 2, pp 247-255 | 10.1007/s11554-015-0492-8 | null | cs.MM cs.CV stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A multiplierless pruned approximate 8-point discrete cosine transform (DCT)
requiring only 10 additions is introduced. The proposed algorithm was assessed
in image and video compression, showing competitive performance with
state-of-the-art methods. Digital implementation in 45 nm CMOS technology up to
place-and-rout... | [
{
"created": "Mon, 24 Feb 2014 21:04:41 GMT",
"version": "v1"
},
{
"created": "Sun, 11 Dec 2016 19:23:57 GMT",
"version": "v2"
}
] | 2016-12-13 | [
[
"Coutinho",
"V. A.",
""
],
[
"Cintra",
"R. J.",
""
],
[
"Bayer",
"F. M.",
""
],
[
"Kulasekera",
"S.",
""
],
[
"Madanayake",
"A.",
""
]
] | A multiplierless pruned approximate 8-point discrete cosine transform (DCT) requiring only 10 additions is introduced. The proposed algorithm was assessed in image and video compression, showing competitive performance with state-of-the-art methods. Digital implementation in 45 nm CMOS technology up to place-and-route ... |
1807.06446 | Haoyu Yang | Haoyu Yang, Shuhe Li, Cyrus Tabery, Bingqing Lin, Bei Yu | Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection
via Batch Active Learning | 8 pages, 7 figures | null | null | null | cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Layout hotpot detection is one of the main steps in modern VLSI design. A
typical hotspot detection flow is extremely time consuming due to the
computationally expensive mask optimization and lithographic simulation. Recent
researches try to facilitate the procedure with a reduced flow including
feature extraction, t... | [
{
"created": "Fri, 13 Jul 2018 17:51:42 GMT",
"version": "v1"
}
] | 2018-07-18 | [
[
"Yang",
"Haoyu",
""
],
[
"Li",
"Shuhe",
""
],
[
"Tabery",
"Cyrus",
""
],
[
"Lin",
"Bingqing",
""
],
[
"Yu",
"Bei",
""
]
] | Layout hotpot detection is one of the main steps in modern VLSI design. A typical hotspot detection flow is extremely time consuming due to the computationally expensive mask optimization and lithographic simulation. Recent researches try to facilitate the procedure with a reduced flow including feature extraction, tra... |
1101.0302 | Tsachy Weissman | Rami Atar and Tsachy Weissman | Mutual Information, Relative Entropy, and Estimation in the Poisson
Channel | 24 pages, 4 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Let $X$ be a non-negative random variable and let the conditional
distribution of a random variable $Y$, given $X$, be ${Poisson}(\gamma \cdot
X)$, for a parameter $\gamma \geq 0$. We identify a natural loss function such
that: 1) The derivative of the mutual information between $X$ and $Y$ with
respect to $\gamma$ i... | [
{
"created": "Fri, 31 Dec 2010 21:28:43 GMT",
"version": "v1"
}
] | 2015-03-17 | [
[
"Atar",
"Rami",
""
],
[
"Weissman",
"Tsachy",
""
]
] | Let $X$ be a non-negative random variable and let the conditional distribution of a random variable $Y$, given $X$, be ${Poisson}(\gamma \cdot X)$, for a parameter $\gamma \geq 0$. We identify a natural loss function such that: 1) The derivative of the mutual information between $X$ and $Y$ with respect to $\gamma$ is ... |
1806.02867 | Guy Lorberbom | Guy Lorberbom (Technion), Andreea Gane (MIT), Tommi Jaakkola (MIT),
Tamir Hazan (Technion) | Direct Optimization through $\arg \max$ for Discrete Variational
Auto-Encoder | Accepted by Neural Information Processing Systems (NeurIPS 2019) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reparameterization of variational auto-encoders with continuous random
variables is an effective method for reducing the variance of their gradient
estimates. In the discrete case, one can perform reparametrization using the
Gumbel-Max trick, but the resulting objective relies on an $\arg \max$
operation and is non-d... | [
{
"created": "Thu, 7 Jun 2018 19:09:21 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Oct 2018 17:07:53 GMT",
"version": "v2"
},
{
"created": "Sat, 9 Feb 2019 19:34:43 GMT",
"version": "v3"
},
{
"created": "Thu, 30 May 2019 13:49:37 GMT",
"version": "v4"
},
{
"cre... | 2019-12-10 | [
[
"Lorberbom",
"Guy",
"",
"Technion"
],
[
"Gane",
"Andreea",
"",
"MIT"
],
[
"Jaakkola",
"Tommi",
"",
"MIT"
],
[
"Hazan",
"Tamir",
"",
"Technion"
]
] | Reparameterization of variational auto-encoders with continuous random variables is an effective method for reducing the variance of their gradient estimates. In the discrete case, one can perform reparametrization using the Gumbel-Max trick, but the resulting objective relies on an $\arg \max$ operation and is non-dif... |
2103.15596 | Thiago Gomes | Thiago L. Gomes and Renato Martins and Jo\~ao Ferreira and Rafael
Azevedo and Guilherme Torres and Erickson R. Nascimento | A Shape-Aware Retargeting Approach to Transfer Human Motion and
Appearance in Monocular Videos | 19 pages, 13 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Transferring human motion and appearance between videos of human actors
remains one of the key challenges in Computer Vision. Despite the advances from
recent image-to-image translation approaches, there are several transferring
contexts where most end-to-end learning-based retargeting methods still perform
poorly. T... | [
{
"created": "Mon, 29 Mar 2021 13:17:41 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Apr 2021 15:56:27 GMT",
"version": "v2"
}
] | 2021-04-29 | [
[
"Gomes",
"Thiago L.",
""
],
[
"Martins",
"Renato",
""
],
[
"Ferreira",
"João",
""
],
[
"Azevedo",
"Rafael",
""
],
[
"Torres",
"Guilherme",
""
],
[
"Nascimento",
"Erickson R.",
""
]
] | Transferring human motion and appearance between videos of human actors remains one of the key challenges in Computer Vision. Despite the advances from recent image-to-image translation approaches, there are several transferring contexts where most end-to-end learning-based retargeting methods still perform poorly. Tra... |
1805.07966 | Sopan Khosla | Sopan Khosla, Niyati Chhaya, Kushal Chawla | Aff2Vec: Affect--Enriched Distributional Word Representations | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Human communication includes information, opinions, and reactions. Reactions
are often captured by the affective-messages in written as well as verbal
communications. While there has been work in affect modeling and to some extent
affective content generation, the area of affective word distributions in not
well stud... | [
{
"created": "Mon, 21 May 2018 10:10:16 GMT",
"version": "v1"
}
] | 2018-05-22 | [
[
"Khosla",
"Sopan",
""
],
[
"Chhaya",
"Niyati",
""
],
[
"Chawla",
"Kushal",
""
]
] | Human communication includes information, opinions, and reactions. Reactions are often captured by the affective-messages in written as well as verbal communications. While there has been work in affect modeling and to some extent affective content generation, the area of affective word distributions in not well studie... |
2202.12650 | Javier L\'opez-Randulfe | Javier L\'opez-Randulfe, Nico Reeb, Negin Karimi, Chen Liu, Hector A.
Gonzalez, Robin Dietrich, Bernhard Vogginger, Christian Mayr, Alois Knoll | Time-coded Spiking Fourier Transform in Neuromorphic Hardware | Accepted version on IEEE Transactions on Computers (early access).
Added copyright notice | null | 10.1109/TC.2022.3162708 | null | cs.NE eess.SP | http://creativecommons.org/licenses/by-sa/4.0/ | After several decades of continuously optimizing computing systems, the
Moore's law is reaching itsend. However, there is an increasing demand for fast
and efficient processing systems that can handlelarge streams of data while
decreasing system footprints. Neuromorphic computing answers thisneed by
creating decentra... | [
{
"created": "Fri, 25 Feb 2022 12:15:46 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Mar 2022 10:34:13 GMT",
"version": "v2"
}
] | 2022-04-01 | [
[
"López-Randulfe",
"Javier",
""
],
[
"Reeb",
"Nico",
""
],
[
"Karimi",
"Negin",
""
],
[
"Liu",
"Chen",
""
],
[
"Gonzalez",
"Hector A.",
""
],
[
"Dietrich",
"Robin",
""
],
[
"Vogginger",
"Bernhard",
""
],
... | After several decades of continuously optimizing computing systems, the Moore's law is reaching itsend. However, there is an increasing demand for fast and efficient processing systems that can handlelarge streams of data while decreasing system footprints. Neuromorphic computing answers thisneed by creating decentrali... |
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