id stringlengths 10 10 | title stringlengths 7 231 | abstract stringlengths 3 2.43k | authors stringlengths 5 21.5k | published_date stringlengths 20 20 | link stringlengths 33 34 | markdown stringlengths 133 1.92M |
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2307.16564 | The Decimation Scheme for Symmetric Matrix Factorization | Matrix factorization is an inference problem that has acquired importance due
to its vast range of applications that go from dictionary learning to
recommendation systems and machine learning with deep networks. The study of
its fundamental statistical limits represents a true challenge, and despite a
decade-long histo... | Francesco Camilli, Marc Mézard | 2023-07-31T10:53:45Z | http://arxiv.org/abs/2307.16564v1 | # The Decimation Scheme for Symmetric Matrix Factorization
###### Abstract
Matrix factorization is an inference problem that has acquired importance due to its vast range of applications that go from dictionary learning to recommendation systems and machine learning with deep networks. The study of its fundamental st... |
2309.09856 | Polarized Hardy--Stein identity | We prove the Hardy--Stein identity for vector functions in $L^p(\mathbb
R^d;\mathbb R^n)$ with $1<p<\infty$ and for the canonical paring of two real
functions in $L^p(\mathbb R^d)$ with $2\le p<\infty$. To this end we propose a
notion of Bregman co-divergence and study the corresponding integral forms. | Krzysztof Bogdan, Michał Gutowski, Katarzyna Pietruska-Pałuba | 2023-09-18T15:16:38Z | http://arxiv.org/abs/2309.09856v1 | # Polarized Hardy-Stein identity
###### Abstract.
We prove the Hardy-Stein identity for vector functions in \(L^{p}(\mathbb{R}^{d};\mathbb{R}^{n})\) with \(1<p<\infty\) and for the canonical paring of two real functions in \(L^{p}(\mathbb{R}^{d})\) with \(2\leq p<\infty\). To this end we propose a notion of Bregman c... |
2305.19748 | UKP-SQuARE: An Interactive Tool for Teaching Question Answering | The exponential growth of question answering (QA) has made it an
indispensable topic in any Natural Language Processing (NLP) course.
Additionally, the breadth of QA derived from this exponential growth makes it
an ideal scenario for teaching related NLP topics such as information
retrieval, explainability, and adversa... | Haishuo Fang, Haritz Puerto, Iryna Gurevych | 2023-05-31T11:29:04Z | http://arxiv.org/abs/2305.19748v2 | # UKP-SQuARE: An Interactive Tool for Teaching Question Answering
###### Abstract
The exponential growth of question answering (QA) has made it an indispensable topic in any Natural Language Processing (NLP) course. Additionally, the breadth of QA derived from this exponential growth makes it an ideal scenario for te... |
2309.08590 | Neural Machine Translation Models Can Learn to be Few-shot Learners | The emergent ability of Large Language Models to use a small number of
examples to learn to perform in novel domains and tasks, also called in-context
learning (ICL). In this work, we show that a much smaller model can be trained
to perform ICL by fine-tuning towards a specialized training objective,
exemplified on the... | Raphael Reinauer, Patrick Simianer, Kaden Uhlig, Johannes E. M. Mosig, Joern Wuebker | 2023-09-15T17:44:21Z | http://arxiv.org/abs/2309.08590v1 | # Neural Machine Translation Models Can Learn to be Few-shot Learners
###### Abstract
The emergent ability of Large Language Models to use a small number of examples to learn to perform in novel domains and tasks, also called in-context learning (ICL). In this work, we show that a much smaller model can be trained to... |
2309.16976 | Benchmarking and In-depth Performance Study of Large Language Models on
Habana Gaudi Processors | Transformer models have achieved remarkable success in various machine
learning tasks but suffer from high computational complexity and resource
requirements. The quadratic complexity of the self-attention mechanism further
exacerbates these challenges when dealing with long sequences and large
datasets. Specialized AI... | Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao | 2023-09-29T04:49:35Z | http://arxiv.org/abs/2309.16976v1 | # Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors
###### Abstract.
Transformer models have achieved remarkable success in various machine learning tasks but suffer from high computational complexity and resource requirements. The quadratic complexity of the self-attenti... |
2304.00130 | Top-down integration of a hBN quantum emitter in a monolithic photonic
waveguide | Integrated quantum photonics, with potential applications in quantum
information processing, relies on the integration of quantum emitters into
on-chip photonic circuits. Hexagonal boron nitride (hBN) is recognized as a
material that is compatible with such implementations, owing to its relatively
high refractive index... | Domitille Gérard, Michael Rosticher, Kenji Watanabe, Takashi Taniguchi, Julien Barjon, Stéphanie Buil, Jean-Pierre Hermier, Aymeric Delteil | 2023-03-31T21:09:04Z | http://arxiv.org/abs/2304.00130v2 | # Top-down integration of a hBN quantum emitter in a monolithic photonic waveguide
###### Abstract
Integrated quantum photonics, with potential applications in quantum information processing, relies on the integration of quantum emitters into on-chip photonic circuits. Hexagonal boron nitride (hBN) is recognized as a... |
2309.13826 | Building a quantum superposition of conscious states with integrated
information theory | Could there be a quantum superposition of consciousness, as in the Wigner's
friend thought experiment? The integrated information theory (IIT) of
consciousness has turned this into a well-defined question. According to IIT,
consciousness is a measurable physical quantity given by integrated information
($\Phi$), such t... | Kelvin J. McQueen, Ian T. Durham, Markus P. Mueller | 2023-09-25T02:15:24Z | http://arxiv.org/abs/2309.13826v1 | # Building a quantum superposition of conscious states with integrated information theory
###### Abstract
Could there be a quantum superposition of consciousness, as in the Wigner's friend thought experiment? The integrated information theory (IIT) of consciousness has turned this into a well-defined question. Accord... |
2310.00087 | Optically-trapped microspheres are high-bandwidth acoustic transducers | We report on the use of an optically-trapped microsphere as an acoustic
transducer. A model for the hydrodynamic coupling between the microsphere and
the surrounding acoustic fluid flow is combined with thermo-mechanical
calibration of the microsphere's position detection to enable quantitative
acoustic measurements. W... | Logan E. Hillberry, Mark G. Raizen | 2023-09-29T18:56:02Z | http://arxiv.org/abs/2310.00087v1 | # Optically-trapped microspheres are high-bandwidth acoustic transducers
###### Abstract
We report on the use of an optically-trapped microsphere as an acoustic transducer. A model for the hydrodynamic coupling between the microsphere and the surrounding acoustic fluid flow is combined with thermo-mechanical calibrat... |
2309.04382 | Emergent learning in physical systems as feedback-based aging in a
glassy landscape | By training linear physical networks to learn linear transformations, we
discern how their physical properties evolve due to weight update rules. Our
findings highlight a striking similarity between the learning behaviors of such
networks and the processes of aging and memory formation in disordered and
glassy systems.... | Vidyesh Rao Anisetti, Ananth Kandala, J. M. Schwarz | 2023-09-08T15:24:55Z | http://arxiv.org/abs/2309.04382v2 | # Emergent learning in physical systems as feedback-based aging in a glassy landscape
###### Abstract
By training linear physical networks to learn linear transformations, we discern how their physical properties evolve due to weight update rules. Our findings highlight a striking similarity between the learning beha... |
2309.05922 | A Survey of Hallucination in Large Foundation Models | Hallucination in a foundation model (FM) refers to the generation of content
that strays from factual reality or includes fabricated information. This
survey paper provides an extensive overview of recent efforts that aim to
identify, elucidate, and tackle the problem of hallucination, with a particular
focus on ``Larg... | Vipula Rawte, Amit Sheth, Amitava Das | 2023-09-12T02:34:06Z | http://arxiv.org/abs/2309.05922v1 | # A Survey of Hallucination in "Large" Foundation Models
###### Abstract
Hallucination in a foundation model (FM) refers to the generation of content that strays from factual reality or includes fabricated information. This survey paper provides an extensive overview of recent efforts that aim to identify, elucidate,... |
2309.13198 | Associative memory by virtual oscillator network based on single
spin-torque oscillator | A coupled oscillator network may be able to perform an energy-efficient
associative memory operation. However, its realization has been difficult
because inhomogeneities unavoidably arise among the oscillators during
fabrication and lead to an unreliable operation. This issue could be resolved
if the oscillator network... | Yusuke Imai, Tomohiro Taniguchi | 2023-09-22T22:23:58Z | http://arxiv.org/abs/2309.13198v3 | # Associative memory by virtual oscillator network based on single spin-torque oscillator
###### Abstract
A coupled oscillator network may be able to perform an energy-efficient associative memory operation. However, its realization has been difficult because inhomogeneities unavoidably arise among the oscillators du... |
2309.12292 | Constraining dark energy cosmologies with spatial curvature using
Supernovae JWST forecasting | Recent cosmological tensions, in particular, to infer the local value of the
Hubble constant $H_0$, have developed new independent techniques to constrain
cosmological parameters in several cosmologies. Moreover, even when the
concordance Cosmological Constant Cold Dark Matter ($\Lambda$CDM) model has
been well constra... | Pablo M. Maldonado Alonso, Celia Escamilla-Rivera, Rodrigo Sandoval-Orozco | 2023-09-21T17:53:54Z | http://arxiv.org/abs/2309.12292v2 | # Constraining dark energy cosmologies with spatial curvature using Supernovae JWST forecasting
###### Abstract
Recent cosmological tensions, in particular, to infer the local value of the Hubble constant \(H_{0}\), have developed new independent techniques to constrain cosmological parameters in several cosmologies.... |
2307.16558 | Canonical Gradings of Monads | We define a notion of grading of a monoid T in a monoidal category C,
relative to a class of morphisms M (which provide a notion of M-subobject). We
show that, under reasonable conditions (including that M forms a factorization
system), there is a canonical grading of T. Our application is to graded monads
and models o... | Flavien Breuvart, Dylan McDermott, Tarmo Uustalu | 2023-07-31T10:37:41Z | http://arxiv.org/abs/2307.16558v1 | # Canonical Gradings of Monads
###### Abstract
We define a notion of grading of a monoid \(\mathsf{T}\) in a monoidal category \(\mathcal{C}\), relative to a class of morphisms \(\mathcal{M}\) (which provide a notion of \(\mathcal{M}\)-subobject). We show that, under reasonable conditions (including that \(\mathcal{M... |
2305.00543 | Calibration Error Estimation Using Fuzzy Binning | Neural network-based decisions tend to be overconfident, where their raw
outcome probabilities do not align with the true decision probabilities.
Calibration of neural networks is an essential step towards more reliable deep
learning frameworks. Prior metrics of calibration error primarily utilize crisp
bin membership-... | Geetanjali Bihani, Julia Taylor Rayz | 2023-04-30T18:06:14Z | http://arxiv.org/abs/2305.00543v2 | # Calibration Error Estimation Using Fuzzy Binning
###### Abstract
Neural network-based decisions tend to be overconfident, where their raw outcome probabilities do not align with the true decision probabilities. Calibration of neural networks is an essential step towards more reliable deep learning frameworks. Prior... |
2305.19774 | Ambiguity in solving imaging inverse problems with deep learning based
operators | In recent years, large convolutional neural networks have been widely used as
tools for image deblurring, because of their ability in restoring images very
precisely. It is well known that image deblurring is mathematically modeled as
an ill-posed inverse problem and its solution is difficult to approximate when
noise ... | Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James Nagy | 2023-05-31T12:07:08Z | http://arxiv.org/abs/2305.19774v1 | # Ambiguity in solving imaging inverse problems with deep learning based operators
###### Abstract
In recent years, large convolutional neural networks have been widely used as tools for image deblurring, because of their ability in restoring images very precisely. It is well known that image deblurring is mathematic... |
2309.06581 | Zero-Shot Visual Classification with Guided Cropping | Pretrained vision-language models, such as CLIP, show promising zero-shot
performance across a wide variety of datasets. For closed-set classification
tasks, however, there is an inherent limitation: CLIP image encoders are
typically designed to extract generic image-level features that summarize
superfluous or confoun... | Piyapat Saranrittichai, Mauricio Munoz, Volker Fischer, Chaithanya Kumar Mummadi | 2023-09-12T20:09:12Z | http://arxiv.org/abs/2309.06581v1 | # Zero-Shot Visual Classification with Guided Cropping
###### Abstract
Pretrained vision-language models, such as CLIP, show promising zero-shot performance across a wide variety of datasets. For closed-set classification tasks, however, there is an inherent limitation: CLIP image encoders are typically designed to e... |
2309.07847 | Thermodynamic entropy production in the dynamical Casimir effect | This paper address the question of thermodynamic entropy production in the
context of the dynamical Casimir effect. Specifically, we study a scalar
quantum field confined within a one-dimensional ideal cavity subject to
time-varying boundary conditions dictated by an externally prescribed
trajectory of one of the cavit... | Gustavo de Oliveira, Lucas C. Céleri | 2023-09-14T16:41:28Z | http://arxiv.org/abs/2309.07847v2 | # Thermodynamic entropy production in the dynamical Casimir effect
###### Abstract
This paper address the question of thermodynamic entropy production in the context of the dynamical Casimir effect. Specifically, we study a scalar quantum field confined within a one-dimensional ideal cavity subject to time-varying bo... |
2309.16792 | Agent Coordination via Contextual Regression (AgentCONCUR) for Data
Center Flexibility | A network of spatially distributed data centers can provide operational
flexibility to power systems by shifting computing tasks among electrically
remote locations. However, harnessing this flexibility in real-time through the
standard optimization techniques is challenged by the need for sensitive
operational dataset... | Vladimir Dvorkin | 2023-09-28T18:39:42Z | http://arxiv.org/abs/2309.16792v2 | # Agent Coordination via Contextual Regression (AgentCONCUR) for Data Center Flexibility
###### Abstract
A network of spatially distributed data centers can provide operational flexibility to power systems by shifting computing tasks among electrically remote locations. However, harnessing this flexibility in real-ti... |
2309.13832 | Inspiral and Plunging Orbits in Kerr-Newman Spacetimes | We present the analytical solutions for the trajectories of particles that
spiral and plunge inward the event horizon along the timelike geodesics
following general non-equatorial paths within Kerr-Newman spacetimes. Our
studies encompass both bound and unbound motions. The solutions can be written
in terms of the elli... | Yu-Chung Ko, Da-Shin Lee, Chi-Yong Lin | 2023-09-25T02:37:39Z | http://arxiv.org/abs/2309.13832v3 | # Inspiral and Plunging Orbits in Kerr-Newman Spacetimes
###### Abstract
We present the analytical solutions for the trajectories that spiral and plunge inward the event horizon along the timelike geodesics of particles following general non-equatorial paths within Kerr-Newman spacetimes. Our studies encompass both b... |
2309.13601 | FaceGemma: Enhancing Image Captioning with Facial Attributes for
Portrait Images | Automated image caption generation is essential for improving the
accessibility and understanding of visual content. In this study, we introduce
FaceGemma, a model that accurately describes facial attributes such as
emotions, expressions, and features. Using FaceAttdb data, we generated
descriptions for 2000 faces with... | Naimul Haque, Iffat Labiba, Sadia Akter | 2023-09-24T10:30:22Z | http://arxiv.org/abs/2309.13601v2 | # Face-Att: Enhancing Image Captioning with Facial Attributes for Portrait Images
###### Abstract
Automated image caption generation is a critical area of research that enhances accessibility and understanding of visual content for diverse audiences. In this study, we propose the Face-Att model, a novel approach to a... |
2309.03412 | From Base to Conversational: Japanese Instruction Dataset and Tuning
Large Language Models | Instruction tuning is essential for large language models (LLMs) to become
interactive. While many instruction tuning datasets exist in English, there is
a noticeable lack in other languages. Also, their effectiveness has not been
well verified in non-English languages. We construct a Japanese instruction
dataset by ex... | Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji | 2023-09-07T00:14:37Z | http://arxiv.org/abs/2309.03412v2 | # From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models
###### Abstract
Instruction tuning is essential for large language models (LLMs) to become interactive. While many instruction tuning datasets exist in English, there is a noticeable lack in other languages. Also, their effec... |
2309.15270 | Consistent Query Answering for Primary Keys on Path Queries | We study the data complexity of consistent query answering (CQA) on databases
that may violate the primary key constraints. A repair is a maximal consistent
subset of the database. For a Boolean query $q$, the problem
$\mathsf{CERTAINTY}(q)$ takes a database as input, and asks whether or not each
repair satisfies $q$. ... | Paraschos Koutris, Xiating Ouyang, Jef Wijsen | 2023-09-26T21:05:59Z | http://arxiv.org/abs/2309.15270v1 | # Consistent Query Answering for Primary Keys on Path Queries+
###### Abstract
We study the data complexity of consistent query answering (CQA) on databases that may violate the primary key constraints. A repair is a maximal consistent subset of the database. For a Boolean query \(q\), the problem \(\mathsf{CERTAINTY... |
2305.19947 | A Geometric Perspective on Diffusion Models | Recent years have witnessed significant progress in developing effective
training and fast sampling techniques for diffusion models. A remarkable
advancement is the use of stochastic differential equations (SDEs) and their
marginal-preserving ordinary differential equations (ODEs) to describe data
perturbation and gene... | Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang | 2023-05-31T15:33:16Z | http://arxiv.org/abs/2305.19947v3 | # A Geometric Perspective on Diffusion Models
###### Abstract
Recent years have witnessed significant progress in developing efficient training and fast sampling approaches for diffusion models. A recent remarkable advancement is the use of stochastic differential equations (SDEs) to describe data perturbation and ge... |
2301.13745 | Stick-slip in a stack: how slip dissonance reveals aging | We perform physical and numerical experiments to study the stick-slip
response of a stack of slabs in contact through dry frictional interfaces
driven in quasistatic shear. The ratio between the drive's stiffness and the
slab's shear stiffness controls the presence or absence of slip
synchronization. A sufficiently hig... | Samuel Poincloux, Pedro M. Reis, Tom W. J. de Geus | 2023-01-31T16:26:25Z | http://arxiv.org/abs/2301.13745v3 | # Stick-slip synchronization in stack of elastically coupled frictional interfaces
###### Abstract
We perform physical and numerical experiments to study the stick-slip response of a stack of slabs in contact through dry frictional interfaces driven in quasistatic shear. The ratio between the drive's stiffness and th... |
2309.08221 | Exploring the Potential of ChatGPT in Automated Code Refinement: An
Empirical Study | Code review is an essential activity for ensuring the quality and
maintainability of software projects. However, it is a time-consuming and often
error-prone task that can significantly impact the development process.
Recently, ChatGPT, a cutting-edge language model, has demonstrated impressive
performance in various n... | Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng | 2023-09-15T07:41:33Z | http://arxiv.org/abs/2309.08221v1 | # Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study
###### Abstract.
Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can significantly impact the development proces... |
2309.07112 | A statistical mechanics framework for constructing non-equilibrium
thermodynamic models | Far-from-equilibrium phenomena are critical to all natural and engineered
systems, and essential to biological processes responsible for life. For over a
century and a half, since Carnot, Clausius, Maxwell, Boltzmann, and Gibbs,
among many others, laid the foundation for our understanding of equilibrium
processes, scie... | Travis Leadbetter, Prashant K. Purohit, Celia Reina | 2023-09-13T17:34:58Z | http://arxiv.org/abs/2309.07112v1 | # A statistical mechanics framework for constructing non-equilibrium thermodynamic models
###### Abstract
Far-from-equilibrium phenomena are critical to all natural and engineered systems, and essential to biological processes responsible for life. For over a century and a half, since Carnot, Clausius, Maxwell, Boltz... |
2306.17584 | Flexible and Accurate Methods for Estimation and Inference of Gaussian
Graphical Models with Applications | The Gaussian graphical model (GGM) incorporates an undirected graph to
represent the conditional dependence between variables, with the precision
matrix encoding partial correlation between pair of variables given the others.
To achieve flexible and accurate estimation and inference of GGM, we propose
the novel method ... | Yueqi Qian, Xianghong Hu, Can Yang | 2023-06-30T12:06:10Z | http://arxiv.org/abs/2306.17584v1 | Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications
###### Abstract
The Gaussian graphical model (GGM) incorporates an undirected graph to represent the conditional dependence between variables, with the precision matrix encoding partial correlation between pair o... |
2309.12279 | The Broad Impact of Feature Imitation: Neural Enhancements Across
Financial, Speech, and Physiological Domains | Initialization of neural network weights plays a pivotal role in determining
their performance. Feature Imitating Networks (FINs) offer a novel strategy by
initializing weights to approximate specific closed-form statistical features,
setting a promising foundation for deep learning architectures. While the
applicabili... | Reza Khanmohammadi, Tuka Alhanai, Mohammad M. Ghassemi | 2023-09-21T17:40:44Z | http://arxiv.org/abs/2309.12279v1 | The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains
###### Abstract
Initialization of neural network weights plays a pivotal role in determining their performance. Feature Imitating Networks (FINs) offer a novel strategy by initializing weights to approximate... |
2303.18069 | Pathologies in satisfaction classes | We study subsets of countable recursively saturated models of $\mathsf{PA}$
which can be defined using pathologies in satisfaction classes. More precisely,
we characterize those subsets $X$ such that there is a satisfaction class $S$
where $S$ behaves correctly on an idempotent disjunction of length $c$ if and
only if ... | Athar Abdul-Quader, Mateusz Łełyk | 2023-03-31T13:59:12Z | http://arxiv.org/abs/2303.18069v1 | # Pathologies in Satisfaction Classes
###### Abstract.
We study subsets of countable recursively saturated models of \(\mathsf{PA}\) which can be defined using pathologies in satisfaction classes. More precisely, we characterize those subsets \(X\) such that there is a satisfaction class \(S\) where \(S\) behaves cor... |
2309.03374 | Physics Informed Neural Networks for Modeling of 3D Flow-Thermal
Problems with Sparse Domain Data | Successfully training Physics Informed Neural Networks (PINNs) for highly
nonlinear PDEs on complex 3D domains remains a challenging task. In this paper,
PINNs are employed to solve the 3D incompressible Navier-Stokes (NS) equations
at moderate to high Reynolds numbers for complex geometries. The presented
method utili... | Saakaar Bhatnagar, Andrew Comerford, Araz Banaeizadeh | 2023-09-06T21:52:14Z | http://arxiv.org/abs/2309.03374v3 | # Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data
###### Abstract
Successfully training Physics Informed Neural Networks (PINNs) for highly nonlinear PDEs on complex 3D domains remains a challenging task. In this paper, PINNs are employed to solve the 3D incompressibl... |
2309.13167 | Flow Factorized Representation Learning | A prominent goal of representation learning research is to achieve
representations which are factorized in a useful manner with respect to the
ground truth factors of variation. The fields of disentangled and equivariant
representation learning have approached this ideal from a range of
complimentary perspectives; howe... | Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling | 2023-09-22T20:15:37Z | http://arxiv.org/abs/2309.13167v1 | # Flow Factorized Representation Learning
###### Abstract
A prominent goal of representation learning research is to achieve representations which are factorized in a useful manner with respect to the ground truth factors of variation. The fields of disentangled and equivariant representation learning have approached... |
2309.13173 | BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls
of Large Language Models on Bengali NLP | Large Language Models (LLMs) have emerged as one of the most important
breakthroughs in NLP for their impressive skills in language generation and
other language-specific tasks. Though LLMs have been evaluated in various
tasks, mostly in English, they have not yet undergone thorough evaluation in
under-resourced langua... | Mohsinul Kabir, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Mir Tafseer Nayeem, M Saiful Bari, Enamul Hoque | 2023-09-22T20:29:34Z | http://arxiv.org/abs/2309.13173v2 | BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP
###### Abstract
Large Language Models (LLMs) have emerged as one of the most important breakthroughs in natural language processing (NLP) for their impressive skills in language generation and other languag... |
2309.08235 | PRIEST: Projection Guided Sampling-Based Optimization For Autonomous
Navigation | Efficient navigation in unknown and dynamic environments is crucial for
expanding the application domain of mobile robots. The core challenge stems
from the nonavailability of a feasible global path for guiding
optimization-based local planners. As a result, existing local planners often
get trapped in poor local minim... | Fatemeh Rastgar, Houman Masnavi, Basant Sharma, Alvo Aabloo, Jan Swevers, Arun Kumar Singh | 2023-09-15T08:12:48Z | http://arxiv.org/abs/2309.08235v1 | # PRIEST: Projection Guided Sampling-Based Optimization For Autonomous Navigation
###### Abstract
Efficient navigation in unknown and dynamic environments is crucial for expanding the application domain of mobile robots. The core challenge stems from the non-availability of a feasible global path for guiding optimiza... |
2309.17315 | Data-Driven Newton Raphson Controller Based on Koopman Operator Theory | Newton-Raphson controller is a powerful prediction-based variable gain
integral controller. Basically, the classical model-based Newton-Raphson
controller requires two elements: the prediction of the system output and the
derivative of the predicted output with respect to the control input. In real
applications, the mo... | Mi Zhou | 2023-09-29T15:24:25Z | http://arxiv.org/abs/2309.17315v1 | # Data-Driven Newton Raphson Controller Based on Koopman Operator Theory
###### Abstract
Newton-Raphson controller is a powerful prediction-based variable gain integral controller. Basically, the classical model-based Newton-Raphson controller requires two elements: the prediction of the system output and the derivat... |
2309.11764 | Causal inference with outcome dependent sampling and mismeasured outcome | Outcome-dependent sampling designs are extensively utilized in various
scientific disciplines, including epidemiology, ecology, and economics, with
retrospective case-control studies being specific examples of such designs.
Additionally, if the outcome used for sample selection is also mismeasured,
then it is even more... | Min Zeng, Zeyang Jia, Zijian Sui, Jinfeng Xu, Hong Zhang | 2023-09-21T03:58:26Z | http://arxiv.org/abs/2309.11764v1 | # Causal inference with outcome dependent sampling and mismeasured outcome
###### Abstract
Outcome-dependent sampling designs are extensively utilized in various scientific disciplines, including epidemiology, ecology, and economics, with retrospective case-control studies being specific examples of such designs. Add... |
2309.11002 | PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous
Driving | Pedestrian detection under valet parking scenarios is fundamental for
autonomous driving. However, the presence of pedestrians can be manifested in a
variety of ways and postures under imperfect ambient conditions, which can
adversely affect detection performance. Furthermore, models trained on
publicdatasets that incl... | Zizhang Wu, Xinyuan Chen, Fan Song, Yuanzhu Gan, Tianhao Xu, Jian Pu, Rui Tang | 2023-09-20T01:55:19Z | http://arxiv.org/abs/2309.11002v2 | # PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
###### Abstract
Pedestrian detection under valet parking scenarios is fundamental for autonomous driving. However, the presence of pedestrians can be manifested in a variety of ways and postures under imperfect ambient conditions, which can ... |
2305.19953 | Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio
Anti-spoofing | Audio anti-spoofing for automatic speaker verification aims to safeguard
users' identities from spoofing attacks. Although state-of-the-art spoofing
countermeasure(CM) models perform well on specific datasets, they lack
generalization when evaluated with different datasets. To address this
limitation, previous studies ... | Hye-jin Shim, Jee-weon Jung, Tomi Kinnunen | 2023-05-31T15:37:48Z | http://arxiv.org/abs/2305.19953v2 | # Multi-Dataset Co-Training with Sharpness-Aware Optimization
###### Abstract
Audio anti-spoofing for automatic speaker verification aims to safeguard users' identities from spoofing attacks. Although state-of-the-art spoofing countermeasure(CM) models perform well on specific datasets, they lack generalization when ... |
2309.13615 | Descent representations and colored quasisymmetric functions | The quasisymmetric generating function of the set of permutations whose
inverses have a fixed descent set is known to be symmetric and Schur-positive.
The corresponding representation of the symmetric group is called the descent
representation. In this paper, we provide an extension of this result to
colored permutatio... | Vassilis Dionyssis Moustakas | 2023-09-24T12:10:20Z | http://arxiv.org/abs/2309.13615v1 | # Descent representations and colored quasisymmetric functions
###### Abstract.
The quasisymmetric generating function of the set of permutations whose inverses have a fixed descent set is known to be symmetric and Schur-positive. The corresponding representation of the symmetric group is called the descent represent... |
2309.09665 | Uplink Power Control for Distributed Massive MIMO with 1-Bit ADCs | We consider the problem of uplink power control for distributed massive
multiple-input multiple-output systems where the base stations (BSs) are
equipped with 1-bit analog-to-digital converters (ADCs). The scenario with a
single-user equipment (UE) is first considered to provide insights into the
signal-tonoise-and-dis... | Bikshapathi Gouda, Italo Atzeni, Antti Tölli | 2023-09-18T11:02:52Z | http://arxiv.org/abs/2309.09665v1 | # Uplink Power Control for Distributed Massive MIMO with 1-Bit ADCs
###### Abstract
We consider the problem of uplink power control for distributed massive multiple-input multiple-output systems where the base stations (BSs) are equipped with 1-bit analog-to-digital converters (ADCs). The scenario with a single user ... |
2309.16745 | Efficient Training of One Class Classification-SVMs | This study examines the use of a highly effective training method to conduct
one-class classification. The existence of both positive and negative examples
in the training data is necessary to develop an effective classifier in common
binary classification scenarios. Unfortunately, this criteria is not met in
many doma... | Isaac Amornortey Yowetu, Nana Kena Frempong | 2023-09-28T15:35:16Z | http://arxiv.org/abs/2309.16745v1 | # Efficient Training of One Class Classification - SVMs
###### Abstract
This study examines the use of a highly effective training method to conduct one-class classification. The existence of both positive and negative examples in the training data is necessary to develop an effective classifier in common binary clas... |
2309.10334 | Information geometric bound on general chemical reaction networks | We investigate the dynamics of chemical reaction networks (CRNs) with the
goal of deriving an upper bound on their reaction rates. This task is
challenging due to the nonlinear nature and discrete structure inherent in
CRNs. To address this, we employ an information geometric approach, using the
natural gradient, to de... | Tsuyoshi Mizohata, Tetsuya J. Kobayashi, Louis-S. Bouchard, Hideyuki Miyahara | 2023-09-19T05:37:13Z | http://arxiv.org/abs/2309.10334v1 | # Information geometric bound on general chemical reaction networks
###### Abstract
We investigate the dynamics of chemical reaction networks (CRNs) with the goal of deriving an upper bound on their reaction rates. This task is challenging due to the nonlinear nature and discrete structure inherent in CRNs. To addres... |
2309.04341 | Design of a Single-User RIS-Aided MISO System Based on Statistical
Channel Knowledge | Reconfigurable intelligent surface (RIS) is considered a prospective
technology for beyond fifth-generation (5G) networks to improve the spectral
and energy efficiency at a low cost. Prior works on the RIS mainly rely on
perfect channel state information (CSI), which imposes a huge computational
complexity. This work c... | Sadaf Syed, Dominik Semmler, Donia Ben Amor, Michael Joham, Wolfgang Utschick | 2023-09-08T14:12:02Z | http://arxiv.org/abs/2309.04341v1 | # Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge
###### Abstract
Reconfigurable intelligent surface (RIS) is considered a prospective technology for beyond fifth-generation (5G) networks to improve the spectral and energy efficiency at a low cost. Prior works on the RIS mainly re... |
2309.14152 | Assessment of Brightness Mitigation Practices for Starlink Satellites | Photometric characteristics for all models of Starlink satellites launched to
date are reviewed. The Original design that lacked brightness mitigation is the
most luminous. SpaceX installed a sunshade on the VisorSat model which reduced
its luminosity by a factor of 3. The visor was omitted on Post-VisorSat
spacecraft ... | Anthony Mallama, Andreas Hornig, Richard E. Cole, Scott Harrington, Jay Respler, Ron Lee, Aaron Worley | 2023-09-25T14:05:47Z | http://arxiv.org/abs/2309.14152v3 | ###### Abstract
###### Abstract
Photometric characteristics for all models of Starlink satellites launched to date are reviewed. The Original design that lacked brightness mitigation is the most luminous. SpaceX installed a sunshade on the VisorSat model which reduced its luminosity by a factor of 3. The visor was om... |
2309.05739 | VisActs: Describing Intent in Communicative Visualization | Data visualization can be defined as the visual communication of information.
One important barometer for the success of a visualization is whether the
intents of the communicator(s) are faithfully conveyed. The processes of
constructing and displaying visualizations have been widely studied by our
community. However, ... | Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma | 2023-09-11T18:03:47Z | http://arxiv.org/abs/2309.05739v1 | # VisActs: Describing Intent in Communicative Visualization
###### Abstract
Data visualization can be defined as the visual communication of information. One important barometer for the success of a visualization is whether the intents of the communicator(s) are faithfully conveyed. The processes of constructing and ... |
2309.14634 | Synchronizing Full-Body Avatar Transforms with WebRTC DataChannel on
Educational Metaverse | Full-body avatars are suggested to be beneficial for communication in virtual
environments, and consistency between users' voices and gestures is considered
essential to ensure communication quality. This paper propose extending the
functionality of a web-based VR platform to support the use of full-body
avatars and de... | Yong-Hao Hu, Kenichiro Ito, Ayumi Igarashi | 2023-09-26T03:28:09Z | http://arxiv.org/abs/2309.14634v1 | # Synchronizing Full-Body Avatar Transforms with WebRTC DataChannel on Educational Metaverse
###### Abstract
Full-body avatars are suggested to be beneficial for communication in virtual environments, and consistency between users' voices and gestures is considered essential to ensure communication quality. This pape... |
2301.13779 | FLAME: A small language model for spreadsheet formulas | Spreadsheets are a vital tool for end-user data management. Using large
language models for formula authoring assistance in these environments can be
difficult, as these models are expensive to train and challenging to deploy due
to their size (up to billions of parameters). We present FLAME, a
transformer-based model ... | Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radiček, Gust Verbruggen | 2023-01-31T17:29:43Z | http://arxiv.org/abs/2301.13779v2 | # FLAME: A small language model for spreadsheet formulas
###### Abstract
The widespread use of spreadsheet environments by billions of users presents a unique opportunity for formula-authoring assistance. Although large language models, such as Codex, can assist in general-purpose languages, they are expensive to tra... |
2309.10452 | Essential cohomology modules | In this article, we give a generalization to injective modules by using
$e$-exact sequences introduced by Akray in [1] and name it $e$-injective
modules and investigate their properties. We reprove both Baer criterion and
comparison theorem of homology using $e$-injective modules and $e$-injective
resolutions. Furtherm... | Runak H. Mustafa, Ismael Akray | 2023-09-19T09:12:22Z | http://arxiv.org/abs/2309.10452v1 | # Essential cohomology modules
###### Abstract.
In this article, we give a generalization to injective modules by using \(e\)-exact sequences introduced by Akray in [1] and name it \(e\)-injective modules and investigate their properties. We reprove both Baer criterion and comparison theorem of homology using \(e\)-i... |
2309.11994 | Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation
Model for Expensive Optimization | Surrogate-assisted evolutionary algorithms (SAEAs) hold significant
importance in resolving expensive optimization problems~(EOPs). Extensive
efforts have been devoted to improving the efficacy of SAEAs through the
development of proficient model-assisted selection methods. However, generating
high-quality solutions is... | Hao Hao, Xiaoqun Zhang, Aimin Zhou | 2023-09-21T12:09:55Z | http://arxiv.org/abs/2309.11994v2 | # Enhancing SAEAs with Unevaluated Solutions:
###### Abstract
Surrogate-assisted evolutionary algorithms (SAEAs) hold significant importance in resolving expensive optimization problems (EOPs). Extensive efforts have been devoted to improving the efficacy of SAEAs through the development of proficient model-assisted ... |
2309.16023 | Q-REG: End-to-End Trainable Point Cloud Registration with Surface
Curvature | Point cloud registration has seen recent success with several learning-based
methods that focus on correspondence matching and, as such, optimize only for
this objective. Following the learning step of correspondence matching, they
evaluate the estimated rigid transformation with a RANSAC-like framework. While
it is an... | Shengze Jin, Daniel Barath, Marc Pollefeys, Iro Armeni | 2023-09-27T20:58:53Z | http://arxiv.org/abs/2309.16023v1 | # Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature
###### Abstract
Point cloud registration has seen recent success with several learning-based methods that focus on correspondence matching, and as such, optimize only for this objective. Following the learning step of correspondence matchin... |
2305.00594 | The MCC approaches the geometric mean of precision and recall as true
negatives approach infinity | The performance of a binary classifier is described by a confusion matrix
with four entries: the number of true positives (TP), true negatives (TN),
false positives (FP), and false negatives (FN).
The Matthew's Correlation Coefficient (MCC), F1, and Fowlkes--Mallows (FM)
scores are scalars that summarize a confusion ... | Jon Crall | 2023-04-30T22:36:47Z | http://arxiv.org/abs/2305.00594v2 | # The MCC approaches the geometric mean of precision and recall as true negatives approach infinity.
###### Abstract
The performance of a binary classifier is described by a confusion matrix with four entries: the number of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN).
The... |
2309.08209 | Attitude Control and Low Cost Design of UAV Bicopter | This paper present a control system for the attitude and low cost design of a
Bicopter. The control system uses a PID controller that receives feedback from
an IMU to calculate control inputs that adjust the Bicopters attitude (roll,
pitch and yaw angles) which is resistant to disturbances (wind noise) on a test
bed. T... | Fahmizal, Hanung Adi Nugroho, Adha Imam Cahyadi, Igi Ardiyanto | 2023-09-15T07:19:06Z | http://arxiv.org/abs/2309.08209v1 | # Attitude Control and Low Cost Design of UAV Bicopter
###### Abstract
This paper present a control system for the attitude and low cost design of a Bicopter. The control system uses a PID controller that receives feedback from an IMU to calculate control inputs that adjust the Bicopter's attitude (roll, pitch and ya... |
2309.17329 | Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit
Point-Graph Networks | Pulmonary diseases rank prominently among the principal causes of death
worldwide. Curing them will require, among other things, a better understanding
of the many complex 3D tree-shaped structures within the pulmonary system, such
as airways, arteries, and veins. In theory, they can be modeled using
high-resolution im... | Kangxian Xie, Jiancheng Yang, Donglai Wei, Ziqiao Weng, Pascal Fua | 2023-09-29T15:40:58Z | http://arxiv.org/abs/2309.17329v2 | # Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks
###### Abstract
Pulmonary diseases rank prominently among the principal causes of death worldwide. Curing them will require, among other things, a better understanding of the many complex 3D tree-shaped structures within th... |
2309.09117 | Contrastive Decoding Improves Reasoning in Large Language Models | We demonstrate that Contrastive Decoding -- a simple, computationally light,
and training-free text generation method proposed by Li et al 2022 -- achieves
large out-of-the-box improvements over greedy decoding on a variety of
reasoning tasks. Originally shown to improve the perceived quality of long-form
text generati... | Sean O'Brien, Mike Lewis | 2023-09-17T00:29:32Z | http://arxiv.org/abs/2309.09117v2 | # Contrastive Decoding Improves Reasoning in Large Language Models
###### Abstract
We demonstrate that Contrastive Decoding - a simple, computationally light, and training-free text generation method proposed by Li et al 2022 - achieves large out-of-the-box improvements over greedy decoding on a variety of reasoning ... |
2303.18041 | Isometries of wall-connected twin buildings | We introduce the notion of a wall-connected twin building and show that the
local-to-global principle holds for these twin buildings. As each twin building
satisfying Condition (co) (introduced in [7]) is wall-connected, we obtain a
strengthening of the main result of [7] that covers also the thick irreducible
affne tw... | Sebastian Bischof, Bernhard Mühlherr | 2023-03-31T13:20:36Z | http://arxiv.org/abs/2303.18041v1 | # Isometries of wall-connected twin buildings
###### Abstract
We introduce the notion of a wall-connected twin building and show that the local-to-global principle holds for these twin buildings. As each twin building satisfying Condition (co) (introduced in [7]) is wall-connected, we obtain a strengthening of the ma... |
2301.00077 | A Study on a User-Controlled Radial Tour for Variable Importance in
High-Dimensional Data | Principal component analysis is a long-standing go-to method for exploring
multivariate data. The principal components are linear combinations of the
original variables, ordered by descending variance. The first few components
typically provide a good visual summary of the data. Tours also make linear
projections of th... | Nicholas Spyrison, Dianne Cook, Kim Marriott | 2022-12-31T00:07:40Z | http://arxiv.org/abs/2301.00077v1 | # A Study on a User-Controlled Radial Tour for Variable Importance in High-Dimensional Data
###### Abstract
Principal component analysis is a long-standing go-to method for exploring multivariate data. The principal components are linear combinations of the original variables, ordered by descending variance. The firs... |
2309.04433 | Variations and Relaxations of Normalizing Flows | Normalizing Flows (NFs) describe a class of models that express a complex
target distribution as the composition of a series of bijective transformations
over a simpler base distribution. By limiting the space of candidate
transformations to diffeomorphisms, NFs enjoy efficient, exact sampling and
density evaluation, e... | Keegan Kelly, Lorena Piedras, Sukrit Rao, David Roth | 2023-09-08T16:55:23Z | http://arxiv.org/abs/2309.04433v1 | # Variations and Relaxations of Normalizing Flows
###### Abstract
Normalizing Flows (NFs) describe a class of models that express a complex target distribution as the composition of a series of bijective transformations over a simpler base distribution. By limiting the space of candidate transformations to diffeomorp... |
2309.04355 | Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for
Redundant Data | Compressed Sparse Column (CSC) and Coordinate (COO) are popular compression
formats for sparse matrices. However, both CSC and COO are general purpose and
cannot take advantage of any of the properties of the data other than sparsity,
such as data redundancy. Highly redundant sparse data is common in many machine
learn... | Skyler Ruiter, Seth Wolfgang, Marc Tunnell, Timothy Triche Jr., Erin Carrier, Zachary DeBruine | 2023-09-08T14:24:40Z | http://arxiv.org/abs/2309.04355v1 | # Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data
###### Abstract
Compressed Sparse Column (CSC) and Coordinate (COO) are popular compression formats for sparse matrices. However, both CSC and COO are general purpose and cannot take advantage of any of the properties of the data other ... |
2309.14146 | Examining Temporal Bias in Abusive Language Detection | The use of abusive language online has become an increasingly pervasive
problem that damages both individuals and society, with effects ranging from
psychological harm right through to escalation to real-life violence and even
death. Machine learning models have been developed to automatically detect
abusive language, ... | Mali Jin, Yida Mu, Diana Maynard, Kalina Bontcheva | 2023-09-25T13:59:39Z | http://arxiv.org/abs/2309.14146v1 | # Examining Temporal Bias in Abusive Language Detection
###### Abstract
The use of abusive language online has become an increasingly pervasive problem that damages both individuals and society, with effects ranging from psychological alarm right through to escalation to real-life violence and even death. Machine lea... |
2309.15258 | Efficient Quasiparticle Determination beyond the Diagonal Approximation
via Random Compression | Calculations of excited states in Green's function formalism often invoke the
diagonal approximation, in which the quasiparticle states are taken from a
mean-field calculation. Here, we extend the stochastic approaches applied in
the many-body perturbation theory and overcome this limitation for large
systems in which ... | Annabelle Canestraight, Xiaohe Lei, Khaled Ibrahim, Vojtech Vlcek | 2023-09-26T20:33:04Z | http://arxiv.org/abs/2309.15258v1 | # Efficient Quasiparticle Determination beyond the Diagonal Approximation via Random Compression
###### Abstract
Calculations of excited states in Green's function formalism often invoke the diagonal approximation, in which the quasiparticle states are taken from a mean-field calculation. Here, we extend the stochast... |
2310.00050 | Scalar boson emission from a magnetized relativistic plasma | We investigate the differential emission rate of neutral scalar bosons from a
highly magnetized relativistic plasma. We show that three processes contribute
at the leading order: particle splitting ($\psi\rightarrow \psi+\phi $),
antiparticle splitting ($\bar{\psi} \rightarrow \bar{\psi}+\phi $), and
particle-antiparti... | Jorge Jaber-Urquiza, Igor A. Shovkovy | 2023-09-29T18:00:03Z | http://arxiv.org/abs/2310.00050v2 | # Scalar boson emission from a magnetized relativistic plasma
###### Abstract
We investigate the differential emission rate of neutral scalar bosons from a highly magnetized relativistic plasma. We show that three processes contribute at the leading order: particle splitting (\(\psi\to\psi+\phi\)), antiparticle split... |
2309.12537 | Run-and-tumble oscillator: moment analysis of stationary distributions | When it comes to active particles, even an ideal-gas model in a harmonic
potential poses a mathematical challenge. An exception is a run-and-tumble
model (RTP) in one-dimension for which a stationary distribution is known
exactly. The case of two-dimensions is more complex but the solution is
possible. Incidentally, in... | Derek Frydel | 2023-09-21T23:29:00Z | http://arxiv.org/abs/2309.12537v1 | # Run-and-tumble oscillator: moment analysis of stationary distributions
###### Abstract
When it comes to active particles, even an ideal-gas model in a harmonic potential poses a mathematical challenge. An exception is a run-and-tumble model (RTP) in one-dimension for which a stationary distribution is known exactly... |
2309.06542 | In-plane structure of the electric double layer in the primitive model
using classical density functional theory | The electric double layer (EDL) has a pivotal role in screening charges on
surfaces as in supercapacitor electrodes or colloidal and polymer solutions.
Its structure is determined by correlations between the finite-sized ionic
charge carriers of the underlying electrolyte and, this way, these correlations
affect the pr... | Peter Cats, Andreas Härtel | 2023-09-12T19:35:12Z | http://arxiv.org/abs/2309.06542v2 | In-plane structure of the electric double layer in the primitive model using classical density functional theory
###### Abstract
The electric double layer (EDL) has a pivotal role in screening charges on surfaces as in supercapacitor electrodes or colloidal and polymer solutions. Its structure is determined by correl... |
2309.07884 | Single-soft emissions for amplitudes with two colored particles at three
loops | We compute the three-loop correction to the universal single-soft emission
current for the case of scattering amplitudes with two additional color-charged
partons. We present results valid for QCD and $\mathcal{N}=4$ super-symmetric
Yang-Mills theory. To achieve our results we develop a new integrand expansion
techniqu... | Franz Herzog, Yao Ma, Bernhard Mistlberger, Adi Suresh | 2023-09-14T17:30:41Z | http://arxiv.org/abs/2309.07884v1 | # Single-soft emissions for amplitudes with two colored particles at three loops
###### Abstract
We compute the three-loop correction to the universal single-soft emission current for the case of scattering amplitudes with two additional color-charged partons. We present results valid for QCD and \(\mathcal{N}=4\) su... |
2309.16751 | Secondary Whistler and Ion-cyclotron Instabilities driven by Mirror
Modes in Galaxy Clusters | Electron cyclotron waves (whistlers), are commonly observed in plasmas near
Earth and the solar wind. In the presence of nonlinear mirror modes, bursts of
whistlers, usually called lion roars, have been observed within low magnetic
field regions associated to these modes. In the intracluster medium (ICM) of
galaxy clus... | Francisco Ley, Ellen G. Zweibel, Drake Miller, Mario Riquelme | 2023-09-28T18:00:00Z | http://arxiv.org/abs/2309.16751v1 | # Secondary Whistler and Ion-cyclotron Instabilities driven by Mirror Modes in Galaxy Clusters
###### Abstract
Electron cyclotron waves (whistlers), are commonly observed in plasmas near Earth and the solar wind. In the presence of nonlinear mirror modes, bursts of whistlers, usually called lion roars, have been obse... |
2309.16989 | Extension realizing affine datum: low-dimensional cohomology | For arbitrary varieties of universal algebras, we develop the theory around
the first and second-cohomology groups characterizing extensions realizing
affine datum. Restricted to varieties with a weak-difference term, extensions
realizing affine datum are exactly extensions with abelian kernels. This
recovers many clas... | Alexander Wires | 2023-09-29T05:21:23Z | http://arxiv.org/abs/2309.16989v2 | # Extensions realizing affine datum : Low-dimensional cohomology
###### Abstract.
For arbitrary varieties of universal algebras, we develop the theory around the first and second-cohomology groups characterizing extensions realizing affine datum. Restricted to varieties with a weak-difference term, extensions realizi... |
2309.10320 | Inverse Formulae for $q$-analogues of Bipartite Distance Matrix | We consider two distinct $q$-analogues of the bipartite distance matrix,
namely the $q$-bipartite distance matrix and the exponential distance matrix.
We provide formulae of the inverse for these matrices, which extend the
existing results for the bipartite distance matrix. These investigations lead
us to introduce a $... | Rakesh Jana | 2023-09-19T05:07:39Z | http://arxiv.org/abs/2309.10320v1 | # Inverse Formulae for \(q\)-analogues of Bipartite Distance Matrix
###### Abstract
We consider two distinct \(q\)-analogues of the bipartite distance matrix, namely the \(q\)-bipartite distance matrix and the exponential distance matrix. We provide formulae of the inverse for these matrices, which extend the existin... |
2309.04432 | Nonlinear Stability of Static Néel Walls in Ferromagnetic Thin Films | In this paper, the nonlinear (orbital) stability of static 180^\circ N\'eel
walls in ferromagnetic films, under the reduced wave-type dynamics for the
in-plane magnetization proposed by Capella, Melcher and Otto [CMO07], is
established. It is proved that the spectrum of the linearized operator around
the static N\'eel ... | A. Capella, C. Melcher, L. Morales, R. G. Plaza | 2023-09-08T16:53:59Z | http://arxiv.org/abs/2309.04432v2 | # Nonlinear stability of static Neel walls in ferromagnetic thin films
###### Abstract.
In this paper, the nonlinear (orbital) stability of static \(\pi\)-shifted Neel walls in ferromagnetic films, under the reduced wave-type dynamics for the in-plane magnetization proposed by Capella, Melcher and Otto [1], is establ... |
2309.14621 | Confidence Intervals for the F1 Score: A Comparison of Four Methods | In Natural Language Processing (NLP), binary classification algorithms are
often evaluated using the F1 score. Because the sample F1 score is an estimate
of the population F1 score, it is not sufficient to report the sample F1 score
without an indication of how accurate it is. Confidence intervals are an
indication of ... | Kevin Fu Yuan Lam, Vikneswaran Gopal, Jiang Qian | 2023-09-26T02:20:13Z | http://arxiv.org/abs/2309.14621v2 | # Confidence Intervals for the \(F_{1}\) Score:
###### Abstract
In Natural Language Processing (NLP), binary classification algorithms are often evaluated using the \(F_{1}\) score. Because the sample \(F_{1}\) score is an estimate of the population \(F_{1}\) score, it is not sufficient to report the sample \(F_{1}\)... |
2310.01429 | Chatmap : Large Language Model Interaction with Cartographic Data | The swift advancement and widespread availability of foundational Large
Language Models (LLMs), complemented by robust fine-tuning methodologies, have
catalyzed their adaptation for innovative and industrious applications.
Enabling LLMs to recognize and interpret geospatial data, while offering a
linguistic access to v... | Eren Unlu | 2023-09-28T15:32:36Z | http://arxiv.org/abs/2310.01429v1 | # Chatmap : Large Language Model Interaction with Cartographic Data
###### Abstract
The swift advancement and widespread availability of foundational Large Language Models (LLMs), complemented by robust fine-tuning methodologies, have catalyzed their adaptation for innovative and industrious applications. Enabling LL... |
2301.00076 | Higgs Boson Mass Corrections at Three-Loops in the Top-Yukawa Sector of
the Standard Model | The search for new physics signals in Higgs precision measurements plays a
pivotal role in the High-Luminosity Large Hadron Collider (HL-LHC) and future
colliders programs. The Higgs properties are expected to be measured with great
experimental precision, implying higher-order perturbative computations of the
electrow... | E. A. Reyes R., A. R. Fazio | 2022-12-31T00:03:11Z | http://arxiv.org/abs/2301.00076v3 | # Higgs Boson Mass Corrections at N\({}^{3}\)LO in the Top-Yukawa Sector of the Standard Model
###### Abstract
The search of new physics signals in the Higgs precision measurements plays a pivotal role in the High-Luminosity Large Hadron Collider (HL-LHC) and the future colliders programs. The Higgs properties are ex... |
2303.18040 | Investigating the amplitude and rotation of the phase spiral in the
Milky Way outer disc | Context: With the data releases from the astrometric space mission Gaia, the
exploration of the structure of the Milky Way has developed in unprecedented
detail and unveiled many previously unknown structures in the Galactic disc and
halo. One such feature is the phase spiral where the stars in the Galactic disc
form a... | S. Alinder, P. J. McMillan, T. Bensby | 2023-03-31T13:20:21Z | http://arxiv.org/abs/2303.18040v3 | # Investigating the amplitude and rotation of the phase spiral
###### Abstract
Context:With the data releases from the astrometric space mission _Gaia_, the exploration of the structure of the Milky Way has developed in unprecedented detail and unveiled many previously unknown structures in the Galactic disc and halo... |
2309.12250 | SQUARE: Automatic Question Answering Evaluation using Multiple Positive
and Negative References | Evaluation of QA systems is very challenging and expensive, with the most
reliable approach being human annotations of correctness of answers for
questions. Recent works (AVA, BEM) have shown that transformer LM encoder based
similarity metrics transfer well for QA evaluation, but they are limited by the
usage of a sin... | Matteo Gabburo, Siddhant Garg, Rik Koncel Kedziorski, Alessandro Moschitti | 2023-09-21T16:51:30Z | http://arxiv.org/abs/2309.12250v1 | # SQUARE: Automatic Question Answering Evaluation using
###### Abstract
Evaluation of QA systems is very challenging and expensive, with the most reliable approach being human annotations of correctness of answers for questions. Recent works (AVA, BEM) have shown that transformer LM encoder based similarity metrics t... |
2305.00581 | Multimodal Graph Transformer for Multimodal Question Answering | Despite the success of Transformer models in vision and language tasks, they
often learn knowledge from enormous data implicitly and cannot utilize
structured input data directly. On the other hand, structured learning
approaches such as graph neural networks (GNNs) that integrate prior
information can barely compete w... | Xuehai He, Xin Eric Wang | 2023-04-30T21:22:35Z | http://arxiv.org/abs/2305.00581v1 | # Multimodal Graph Transformer for Multimodal Question Answering
###### Abstract
Despite the success of Transformer models in vision and language tasks, they often learn knowledge from enormous data implicitly and cannot utilize structured input data directly. On the other hand, structured learning approaches such as... |
2309.11759 | Symbol Detection for Coarsely Quantized OTFS | This paper explicitly models a coarse and noisy quantization in a
communication system empowered by orthogonal time frequency space (OTFS) for
cost and power efficiency. We first point out, with coarse quantization, the
effective channel is imbalanced and thus no longer able to circularly shift the
transmitted symbols ... | Junwei He, Haochuan Zhang, Chao Dong, Huimin Zhu | 2023-09-21T03:43:28Z | http://arxiv.org/abs/2309.11759v3 | # Symbol Detection for Coarsely Quantized OTFS
###### Abstract
This paper explicitly models a coarse and noisy quantization in a communication system empowered by orthogonal time frequency space (OTFS) for cost and power efficiency. We first point out, with coarse quantization, the effective channel is imbalanced and... |
2309.08208 | HM-Conformer: A Conformer-based audio deepfake detection system with
hierarchical pooling and multi-level classification token aggregation methods | Audio deepfake detection (ADD) is the task of detecting spoofing attacks
generated by text-to-speech or voice conversion systems. Spoofing evidence,
which helps to distinguish between spoofed and bona-fide utterances, might
exist either locally or globally in the input features. To capture these, the
Conformer, which c... | Hyun-seo Shin, Jungwoo Heo, Ju-ho Kim, Chan-yeong Lim, Wonbin Kim, Ha-Jin Yu | 2023-09-15T07:18:30Z | http://arxiv.org/abs/2309.08208v1 | HM-CONFORMER: A CONFORMER-BASED AUDIO DEPFAKE DETECTION SYSTEM WITH HERARCHICAL POOLING AND MULTI-LEVEL CLASSIFICATION TOREN AGREGATION METHODS
###### Abstract
Audio deepfake detection (ADD) is the task of detecting spoofing attacks generated by text-to-speech or voice conversion systems. Spoofing evidence, which hel... |
2309.10447 | Toward Unified Controllable Text Generation via Regular Expression
Instruction | Controllable text generation is a fundamental aspect of natural language
generation, with numerous methods proposed for different constraint types.
However, these approaches often require significant architectural or decoding
modifications, making them challenging to apply to additional constraints or
resolve different... | Xin Zheng, Hongyu Lin, Xianpei Han, Le Sun | 2023-09-19T09:05:14Z | http://arxiv.org/abs/2309.10447v2 | # Toward Unified Controllable Text Generation via Regular Expression Instruction
###### Abstract
Controllable text generation is a fundamental aspect of natural language generation, with numerous methods proposed for different constraint types. However, these approaches often require significant architectural or deco... |
2309.10321 | Markov Chain Monte Carlo for Bayesian Parametric Galaxy Modeling in LSST | We apply Markov Chain Monte Carlo (MCMC) to the problem of parametric galaxy
modeling, estimating posterior distributions of galaxy properties such as
ellipticity and brightness for more than 100,000 images of galaxies taken from
DC2, a simulated telescope survey resembling the upcoming Rubin Observatory
Legacy Survey ... | James J. Buchanan, Michael D. Schneider, Kerianne Pruett, Robert E. Armstrong | 2023-09-19T05:09:11Z | http://arxiv.org/abs/2309.10321v1 | # Markov Chain Monte Carlo for Bayesian Parametric Galaxy Modeling in LSST
###### Abstract
We apply Markov Chain Monte Carlo (MCMC) to the problem of parametric galaxy modeling, estimating posterior distributions of galaxy properties such as ellipticity and brightness for more than 100,000 images of galaxies taken fr... |
2309.16988 | A slime mold inspired local adaptive mechanism for flow networks | In the realm of biological flow networks, the ability to dynamically adjust
to varying demands is paramount. Drawing inspiration from the remarkable
adaptability of Physarum polycephalum, we present a novel physical mechanism
tailored to optimize flow networks. Central to our approach is the principle
that each network... | Vidyesh Rao Anisetti, Ananth Kandala, J. M. Schwarz | 2023-09-29T05:16:19Z | http://arxiv.org/abs/2309.16988v2 | # A slime mold inspired local adaptive mechanism for flow networks
###### Abstract
In the realm of biological flow networks, the ability to dynamically adjust to varying demands is paramount. Drawing inspiration from the remarkable adaptability of Physarum polycephalum, we present a novel physical mechanism tailored ... |
2309.00132 | When a complementarity in the neutrino and the quark mixing meets a
parameter symmetry and its implications to the unitarity | We present a complementarity that addresses relationships among the
parameters in the neutrino and the quark mixing matrix, use it to estimate the
size of the uncertainty among the elements in the matrix and address its
implications to the unitarity of the quark mixing matrix and Wolfenstein
parameterization and the te... | Jae Jun Kim | 2023-08-31T20:48:49Z | http://arxiv.org/abs/2309.00132v3 | # When a complementarity in the neutrino mixing meets a parameter symmetry and its implications
###### Abstract
We present a complementarity that complements relationships among the elements in the neutrino mixing matrix and address its physical implications. First we show how a complementarity with a phase being int... |
2302.14235 | Ntuple Wizard: An Application to Access Large-Scale Open Data from LHCb | Making the large data sets collected at the Large Hadron Collider (LHC)
accessible to the world is a considerable challenge because of both the
complexity and the volume of data. This paper presents the Ntuple Wizard, an
application that leverages the existing computing infrastructure available to
the LHCb collaboratio... | Christine A. Aidala, Christopher Burr, Marco Cattaneo, Dillon S. Fitzgerald, Adam Morris, Sebastian Neubert, Donijor Tropmann | 2023-02-28T01:34:54Z | http://arxiv.org/abs/2302.14235v2 | # Ntuple Wizard: an application to access large-scale open data from LHCb
###### Abstract
Making the large data sets collected at the Large Hadron Collider (LHC) accessible to the world is a considerable challenge because of both the complexity and the volume of data. This paper presents the Ntuple Wizard, an applica... |
2309.16750 | Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative
Memories and Diffusion Models | The generative process of Diffusion Models (DMs) has recently set
state-of-the-art on many AI generation benchmarks. Though the generative
process is traditionally understood as an "iterative denoiser", there is no
universally accepted language to describe it. We introduce a novel perspective
to describe DMs using the ... | Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau | 2023-09-28T17:57:09Z | http://arxiv.org/abs/2309.16750v2 | # Memory in Plain Sight
###### Abstract
Diffusion Models (DMs) have recently set state-of-the-art on many generation benchmarks. However, there are myriad ways to describe them mathematically, which makes it difficult to develop a simple understanding of how they work. In this survey, we provide a concise overview of... |
2304.08592 | Improving Scene Text Recognition for Character-Level Long-Tailed
Distribution | Despite the recent remarkable improvements in scene text recognition (STR),
the majority of the studies focused mainly on the English language, which only
includes few number of characters. However, STR models show a large performance
degradation on languages with a numerous number of characters (e.g., Chinese
and Kore... | Sunghyun Park, Sunghyo Chung, Jungsoo Lee, Jaegul Choo | 2023-03-31T06:11:33Z | http://arxiv.org/abs/2304.08592v1 | # Improving Scene Text Recognition for Character-Level Long-Tailed Distribution
###### Abstract
Despite the recent remarkable improvements in scene text recognition (STR), the majority of the studies focused mainly on the English language, which only includes few number of characters. However, STR models show a large... |
2309.07885 | Generating Sets and Algebraic Properties of Pure Mapping Class Groups of
Infinite Graphs | We completely classify the locally finite, infinite graphs with pure mapping
class groups admitting a coarsely bounded generating set. We also study
algebraic properties of the pure mapping class group: We establish a semidirect
product decomposition, compute first integral cohomology, and classify when
they satisfy re... | George Domat, Hannah Hoganson, Sanghoon Kwak | 2023-09-14T17:31:35Z | http://arxiv.org/abs/2309.07885v1 | # Generating sets and algebraic properties of pure mapping class groups of infinite graphs
###### Abstract.
We completely classify the locally finite, infinite graphs with pure mapping class groups admitting a coarsely bounded generating set. We also study algebraic properties of the pure mapping class group: We esta... |
2309.09670 | DGM-DR: Domain Generalization with Mutual Information Regularized
Diabetic Retinopathy Classification | The domain shift between training and testing data presents a significant
challenge for training generalizable deep learning models. As a consequence,
the performance of models trained with the independent and identically
distributed (i.i.d) assumption deteriorates when deployed in the real world.
This problem is exace... | Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub | 2023-09-18T11:17:13Z | http://arxiv.org/abs/2309.09670v1 | DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification
###### Abstract
The domain shift between training and testing data presents a significant challenge for training generalizable deep learning models. As a consequence, the performance of models trained with the indepe... |
2309.12536 | Exceptional points in perturbed dielectric spheres: A resonant-state
expansion study | Exceptional points (EPs) in open optical systems are rigorously studied using
the resonant-state expansion (RSE). A spherical resonator, specifically a
homogeneous dielectric sphere in a vacuum, perturbed by two point-like defects
which break the spherical symmetry and bring the optical modes to EPs, is used
as a worke... | Kyle S. Netherwood, Hannah K. Riley, Egor A. Muljarov | 2023-09-21T23:23:58Z | http://arxiv.org/abs/2309.12536v3 | # Exceptional points in optical systems: A resonant-state expansion study
###### Abstract
Exceptional points (EPs) in open optical systems are rigorously studied using the resonant-state expansion (RSE). A spherical resonator, specifically a homogeneous dielectric sphere in a vacuum, perturbed by two point-like defec... |
2310.00051 | Kinematically constrained vortex dynamics in charge density waves | We build a minimal model of dissipative vortex dynamics in two spatial
dimensions, subject to a kinematic constraint: dipole conservation. The
additional conservation law implies anomalously slow decay rates for vortices.
We argue that this model of vortex dynamics is relevant for a broad range of
time scales during a ... | Marvin Qi, Andrew Lucas | 2023-09-29T18:00:03Z | http://arxiv.org/abs/2310.00051v1 | # Kinematically constrained vortex dynamics in charge density waves
###### Abstract
We build a minimal model of dissipative vortex dynamics in two spatial dimensions, subject to a kinematic constraint: dipole conservation. The additional conservation law implies anomalously slow decay rates for vortices. We argue tha... |
2309.15259 | SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers | Exploration into quantum machine learning has grown tremendously in recent
years due to the ability of quantum computers to speed up classical programs.
However, these efforts have yet to solve unsupervised similarity detection
tasks due to the challenge of porting them to run on quantum computers. To
overcome this cha... | Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari | 2023-09-26T20:33:26Z | http://arxiv.org/abs/2309.15259v1 | # Sliq: Quantum Image Similarity Networks on Noisy Quantum Computers
###### Abstract
Exploration into quantum machine learning has grown tremendously in recent years due to the ability of quantum computers to speed up classical programs. However, these efforts have yet to solve unsupervised similarity detection tasks... |
2310.20381 | A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical
Image Analysis | This work conducts an evaluation of GPT-4V's multimodal capability for
medical image analysis, with a focus on three representative tasks of radiology
report generation, medical visual question answering, and medical visual
grounding. For the evaluation, a set of prompts is designed for each task to
induce the correspo... | Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lei Wang, Lingqiao Liu, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou | 2023-10-31T11:39:09Z | http://arxiv.org/abs/2310.20381v5 | # A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging
###### Abstract
This paper presents a comprehensive evaluation of GPT-4V's capabilities across diverse medical imaging tasks, including Radiology Report Generation, Medical Visual Question Answering (VQA), and Visual Grounding. While prior... |
2309.04354 | Mobile V-MoEs: Scaling Down Vision Transformers via Sparse
Mixture-of-Experts | Sparse Mixture-of-Experts models (MoEs) have recently gained popularity due
to their ability to decouple model size from inference efficiency by only
activating a small subset of the model parameters for any given input token. As
such, sparse MoEs have enabled unprecedented scalability, resulting in
tremendous successe... | Erik Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du | 2023-09-08T14:24:10Z | http://arxiv.org/abs/2309.04354v1 | # Mobile V-MoEs: Scaling Down Vision Transformers
###### Abstract
Sparse Mixture-of-Experts models (MoEs) have recently gained popularity due to their ability to decouple model size from inference efficiency by only activating a small subset of the model parameters for any given input token. As such, sparse MoEs have... |
2309.04340 | Identifying Single-Input Linear System Dynamics from Reachable Sets | This paper is concerned with identifying linear system dynamics without the
knowledge of individual system trajectories, but from the knowledge of the
system's reachable sets observed at different times. Motivated by a scenario
where the reachable sets are known from partially transparent manufacturer
specifications or... | Taha Shafa, Roy Dong, Melkior Ornik | 2023-09-08T14:11:46Z | http://arxiv.org/abs/2309.04340v1 | # Identifying Single-Input Linear System Dynamics from Reachable Sets
###### Abstract
This paper is concerned with identifying linear system dynamics without the knowledge of individual system trajectories, but from the knowledge of the system's reachable sets observed at different times. Motivated by a scenario wher... |
2309.07649 | Decay estimates for one Aharonov-Bohm solenoid in a uniform magnetic
field II: wave equation | This is the second of a series of papers in which we investigate the decay
estimates for dispersive equations with Aharonov-Bohm solenoids in a uniform
magnetic field. In our first starting paper \cite{WZZ}, we have studied the
Strichartz estimates for Schr\"odinger equation with one Aharonov-Bohm solenoid
in a uniform... | Haoran Wang, Fang Zhang, Junyong Zhang | 2023-09-14T12:15:42Z | http://arxiv.org/abs/2309.07649v1 | # Decay estimates for one Aharonov-Bohm solenoid in a uniform magnetic field II: wave equation
###### Abstract.
This is the second of a series of papers in which we investigate the decay estimates for dispersive equations with Aharonov-Bohm solenoids in a uniform magnetic field. In our first starting paper [36], we h... |
2309.07891 | HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a
Single RGB Image | This paper presents a method to learn hand-object interaction prior for
reconstructing a 3D hand-object scene from a single RGB image. The inference as
well as training-data generation for 3D hand-object scene reconstruction is
challenging due to the depth ambiguity of a single image and occlusions by the
hand and obje... | Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan, Volkan Isler, Hyunsoo Park | 2023-09-14T17:42:08Z | http://arxiv.org/abs/2309.07891v5 | # HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene
###### Abstract
This paper presents a new method to learn hand-object interaction prior for reconstructing a 3D hand-object scene from a single RGB image. The inference as well as training-data generation for 3D hand-object scene reconstruction is chal... |
2302.14221 | Gröbner-Shirshov bases and linear bases for free multi-operated
algebras over algebras with applications to differential Rota-Baxter algebras
and integro-differential algebras | Quite much recent studies has been attracted to the operated algebra since it
unifies various notions such as the differential algebra and the Rota-Baxter
algebra. An $\Omega$-operated algebra is a an (associative) algebra equipped
with a set $\Omega$ of linear operators which might satisfy certain operator
identities ... | Zuan Liu, Zihao Qi, Yufei Qin, Guodong Zhou | 2023-02-28T00:54:36Z | http://arxiv.org/abs/2302.14221v3 | Grobner-Shirshov bases and linear bases for free multi-operated algebras over algebras with applications to differential rota-Baxter algebras and integro-differential algebras
###### Abstract.
Quite much recent studies has been attracted to the operated algebra since it unifies various notions such as the differentia... |
2309.06231 | Steady-state selection in multi-species driven diffusive systems | We introduce a general method to determine the large scale non-equilibrium
steady-state properties of one-dimensional multi-species driven diffusive
systems with open boundaries, generalizing thus the max-min current principle
known for systems with a single type of particles. This method is based on the
solution of th... | Luigi Cantini, Ali Zahra | 2023-09-12T13:49:56Z | http://arxiv.org/abs/2309.06231v1 | # Steady-state selection in multi-species driven diffusive systems
###### Abstract
We introduce a general method to determine the large scale non-equilibrium steady-state properties of one-dimensional multi-species driven diffusive systems with open boundaries, generalizing thus the max-min current principle known fo... |
2301.13778 | Differentially Private Distributed Bayesian Linear Regression with MCMC | We propose a novel Bayesian inference framework for distributed
differentially private linear regression. We consider a distributed setting
where multiple parties hold parts of the data and share certain summary
statistics of their portions in privacy-preserving noise. We develop a novel
generative statistical model fo... | Barış Alparslan, Sinan Yıldırım, Ş. İlker Birbil | 2023-01-31T17:27:05Z | http://arxiv.org/abs/2301.13778v2 | # Differentially Private Distributed Bayesian
###### Abstract
We propose a novel Bayesian inference framework for distributed differentially private linear regression. We consider a distributed setting where multiple parties hold parts of the data and share certain summary statistics of their portions in privacy-pres... |
2309.05738 | GRMHD simulations of accretion flows onto unequal-mass, precessing
massive binary black hole mergers | In this work, we use general relativistic magnetohydrodynamics simulations to
explore the effect of spin orientation on the dynamics of gas in the vicinity
of merging black holes. We present a suite of eight simulations of
unequal-mass, spinning black hole binaries embedded in magnetized clouds of
matter. Each binary e... | Federico Cattorini, Bruno Giacomazzo, Monica Colpi, Francesco Haardt | 2023-09-11T18:03:36Z | http://arxiv.org/abs/2309.05738v1 | # GRMHD simulations of accretion flows onto unequal-mass,
###### Abstract
In this work, we use general relativistic magnetohydrodynamics simulations to explore the effect of spin orientation on the dynamics of gas in the vicinity of merging black holes. We present a suite of eight simulations of unequal-mass, spinnin... |
2309.06219 | Human Action Co-occurrence in Lifestyle Vlogs using Graph Link
Prediction | We introduce the task of automatic human action co-occurrence identification,
i.e., determine whether two human actions can co-occur in the same interval of
time. We create and make publicly available the ACE (Action Co-occurrencE)
dataset, consisting of a large graph of ~12k co-occurring pairs of visual
actions and th... | Oana Ignat, Santiago Castro, Weiji Li, Rada Mihalcea | 2023-09-12T13:38:44Z | http://arxiv.org/abs/2309.06219v3 | # Human Action Co-occurrence in Lifestyle Vlogs
###### Abstract
We introduce the task of automatic human action co-occurrence identification, i.e., determine whether two human actions can co-occur in the same interval of time. We create and make publicly available the ACE (Action Co-occurrenceE) dataset, consisting o... |
2306.17591 | On the Effects of Quantum Decoherence in a Future Supernova Neutrino
Detection | Quantum decoherence effects in neutrinos, described by the open quantum
systems formalism, serve as a gateway to explore potential new physics,
including quantum gravity. Previous research extensively investigated these
effects across various neutrino sources, imposing stringent constraints on the
spontaneous loss of c... | Marcos V. dos Santos, Pedro C. de Holanda, Pedro Dedin Neto, Ernesto Kemp | 2023-06-30T12:12:24Z | http://arxiv.org/abs/2306.17591v2 | # On the Effects of Quantum Decoherence in a Future Supernova Neutrino Detection
###### Abstract
Quantum decoherence effects in neutrinos, described by the open quantum systems formalism, serve as a gateway to explore potential new physics, including quantum gravity. Previous research extensively investigated these e... |
2309.13172 | Walking-by-Logic: Signal Temporal Logic-Guided Model Predictive Control
for Bipedal Locomotion Resilient to External Perturbations | This study proposes a novel planning framework based on a model predictive
control formulation that incorporates signal temporal logic (STL)
specifications for task completion guarantees and robustness quantification.
This marks the first-ever study to apply STL-guided trajectory optimization for
bipedal locomotion pus... | Zhaoyuan Gu, Rongming Guo, William Yates, Yipu Chen, Ye Zhao | 2023-09-22T20:25:48Z | http://arxiv.org/abs/2309.13172v1 | Walking-by-Logic: Signal Temporal Logic-Guided Model Predictive Control for Bipedal Locomotion Resilient to External Perturbations
###### Abstract
This study proposes a novel planning framework based on a model predictive control formulation that incorporates signal temporal logic (STL) specifications for task comple... |
2309.03361 | Linear Optimization by Conical Projection | This article focuses on numerical efficiency of projection algorithms for
solving linear optimization problems. The theoretical foundation for this
approach is provided by the basic result that bounded finite dimensional linear
optimization problem can be solved by single projection operation on the
feasible polyhedron... | Evgeni Nurminski, Roman Tarasov | 2023-09-06T21:08:23Z | http://arxiv.org/abs/2309.03361v1 | # Linear Optimization by Conical Projection+
###### Abstract
This article focuses on numerical efficiency of projection algorithms for solving linear optimization problems. The theoretical foundation for this approach is provided by the basic result that bounded finite dimensional linear optimization problem can be s... |
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