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2305.18249
Evolution of QPOs in GX 339-4 and EXO 1846-031 with Insight-HXMT and NICER
We conduct a spectral and timing analysis of GX 339-4 and EXO 1846-031 with the aim of studying the evolution of Type-C QPOs with spectral parameters. The high cadence data from Insight-HXMT and NICER allow us to track them. Type-C QPOs appear at the end of low-hard state and/or hard-intermediate state. The results rev...
Zuobin Zhang, Honghui Liu, Divya Rawat, Cosimo Bambi, Ranjeev Misra, Pengju Wang, Long Ji, Shu Zhang, Shuangnan Zhang
2023-05-29T17:15:50Z
http://arxiv.org/abs/2305.18249v2
# Evolution of QPOs in Gx 339\(-\)4 and Exo 1846\(-\)031 with _Insight_-Hxmt and _Nicer_ ###### Abstract We conduct a spectral and timing analysis of GX 339\(-\)4 and EXO 1846\(-\)031 with the aim of studying the evolution of Type-C QPOs with spectral parameters. The high cadence data from _Insight_-HXMT and _NICER_ ...
2306.16734
Unified View of Damage leaves Planimetry & Analysis Using Digital Images Processing Techniques
The detection of leaf diseases in plants generally involves visual observation of patterns appearing on the leaf surface. However, there are many diseases that are distinguished based on very subtle changes in these visually observable patterns. This paper attempts to identify plant leaf diseases using image processing...
Pijush Kanti Kumar, DeepKiran Munjal, Sunita Rani, Anurag Dutta, Liton Chandra Voumik, A. Ramamoorthy
2023-06-29T07:15:45Z
http://arxiv.org/abs/2306.16734v1
# Unified View of Damage leaves Planimetry & Analysis Using Digital Images Processing Techniques ###### Abstract The detection of leaf diseases in plants generally involves visual observation of patterns appearing on the leaf surface. However, there are many diseases that are distinguished based on very subtle change...
2310.05910
SALMON: Self-Alignment with Instructable Reward Models
Supervised Fine-Tuning (SFT) on response demonstrations combined with Reinforcement Learning from Human Feedback (RLHF) constitutes a powerful paradigm for aligning LLM-based AI agents. However, a significant limitation of such an approach is its dependency on high-quality human annotations, making its application to i...
Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan
2023-10-09T17:56:53Z
http://arxiv.org/abs/2310.05910v2
# Salmon: Self-Alignment with ###### Abstract Supervised Fine-Tuning (SFT) on response demonstrations combined with Reinforcement Learning from Human Feedback (RLHF) constitutes a powerful paradigm for aligning LLM-based AI agents. However, a significant limitation of such an approach is its dependency on high-qualit...
2303.05828
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
We present a comprehensive experimental study on pretrained feature extractors for visual out-of-distribution (OOD) detection, focusing on adapting contrastive language-image pretrained (CLIP) models. Without fine-tuning on the training data, we are able to establish a positive correlation ($R^2\geq0.92$) between in-di...
Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann
2023-03-10T10:02:18Z
http://arxiv.org/abs/2303.05828v2
# Contrastive Language-Image Pretrained (CLIP) Models are ###### Abstract We present a comprehensive experimental study on pretrained feature extractors for visual out-of-distribution (OOD) detection. We examine several setups, based on the availability of labels or image captions and using different combinations of ...
2305.10615
ML-SUPERB: Multilingual Speech Universal PERformance Benchmark
Speech processing Universal PERformance Benchmark (SUPERB) is a leaderboard to benchmark the performance of Self-Supervised Learning (SSL) models on various speech processing tasks. However, SUPERB largely considers English speech in its evaluation. This paper presents multilingual SUPERB (ML-SUPERB), covering 143 lang...
Jiatong Shi, Dan Berrebbi, William Chen, Ho-Lam Chung, En-Pei Hu, Wei Ping Huang, Xuankai Chang, Shang-Wen Li, Abdelrahman Mohamed, Hung-yi Lee, Shinji Watanabe
2023-05-18T00:01:27Z
http://arxiv.org/abs/2305.10615v2
# ML-SUPERB: Multilingual Speech Universal PERformance Benchmark ###### Abstract Speech processing Universal PERformance Benchmark (SUPERB) is a leaderboard to benchmark the performance of Self-Supervised Learning (SSL) models on various speech processing tasks. However, SUPERB largely considers English speech in its...
2308.16298
Publishing Wikipedia usage data with strong privacy guarantees
For almost 20 years, the Wikimedia Foundation has been publishing statistics about how many people visited each Wikipedia page on each day. This data helps Wikipedia editors determine where to focus their efforts to improve the online encyclopedia, and enables academic research. In June 2023, the Wikimedia Foundation, ...
Temilola Adeleye, Skye Berghel, Damien Desfontaines, Michael Hay, Isaac Johnson, Cléo Lemoisson, Ashwin Machanavajjhala, Tom Magerlein, Gabriele Modena, David Pujol, Daniel Simmons-Marengo, Hal Triedman
2023-08-30T19:58:56Z
http://arxiv.org/abs/2308.16298v2
# Publishing Wikipedia usage data with strong privacy guarantees ###### Abstract For almost 20 years, the Wikimedia Foundation has been publishing statistics about how many people visited each Wikipedia page on each day. This data helps Wikipedia editors determine where to focus their efforts to improve the online en...
2306.10345
Do as I can, not as I get
This paper proposes a model called TMR to mine valuable information from simulated data environments. We intend to complete the submission of this paper.
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023-06-17T13:23:22Z
http://arxiv.org/abs/2306.10345v2
# Do as I can, not as I get: ###### Abstract Multi-modal knowledge graph (MKG) includes triplets that consist of entities and relations and multi-modal auxiliary data. In recent years, multi-hop multi-modal knowledge graph reasoning (MMKGR) based on reinforcement learning (RL) has received extensive attention because...
2307.07510
NNLL Resummation for Projected Three-Point Energy Correlator
The projected energy correlator measures the energy deposited in multiple detectors as a function of the largest angular distance $x_L = (1 - \cos\chi_L)/2$ between detectors. The collinear limit $x_L\to 0$ of the projected energy correlator is particularly interesting for understanding the jet-substructures, while the...
Wen Chen, Jun Gao, Yibei Li, Zhen Xu, Xiaoyuan Zhang, Hua Xing Zhu
2023-07-14T17:58:13Z
http://arxiv.org/abs/2307.07510v1
# NNLL Resummation for Projected Three-Point Energy Correlator ###### Abstract The projected energy correlator measures the energy deposited in multiple detectors as a function of the largest angular distance \(x_{L}=(1-\cos\chi_{L})/2\) between detectors. The collinear limit \(x_{L}\to 0\) of the projected energy co...
2306.07639
Hidden Lagrangian coherence and memory effects in the statistics of Hamiltonian motions
This paper is focused on the coherent effects that appear in tracer statistics in two-dimensional incompressible turbulence in the presence of an average velocity. We show that this determines strong modifications of the transport and trajectory statistics, which are essentially caused by hidden coherent components of ...
Madalina Vlad, Dragos Iustin Palade, Florin Spineanu
2023-06-13T09:18:03Z
http://arxiv.org/abs/2306.07639v1
# Hidden Lagrangian coherence and memory effects ###### Abstract Turbulence is a complex nonlinear process, which appears in many domains as fluid mechanics, plasma physics, astrophysics, atmosphere and ocean sciences, chemistry [1]-[3]. One of the main difficulty in understanding the dynamics of turbulence is the co...
2307.08623
HYTREL: Hypergraph-enhanced Tabular Data Representation Learning
Language models pretrained on large collections of tabular data have demonstrated their effectiveness in several downstream tasks. However, many of these models do not take into account the row/column permutation invariances, hierarchical structure, etc. that exist in tabular data. To alleviate these limitations, we pr...
Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
2023-07-14T05:41:22Z
http://arxiv.org/abs/2307.08623v2
# HyTrel: Hypergraph-enhanced ###### Abstract Language models pretrained on large collections of tabular data have demonstrated their effectiveness in several downstream tasks. However, many of these models do not take into account the row/column permutation invariances, hierarchical structure, etc. that exist in tab...
2305.06077
Relightify: Relightable 3D Faces from a Single Image via Diffusion Models
Following the remarkable success of diffusion models on image generation, recent works have also demonstrated their impressive ability to address a number of inverse problems in an unsupervised way, by properly constraining the sampling process based on a conditioning input. Motivated by this, in this paper, we present...
Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou
2023-05-10T11:57:49Z
http://arxiv.org/abs/2305.06077v2
# Relightify: Reliable 3D Faces from a Single Image via Diffusion Models ###### Abstract Following the remarkable success of diffusion models on image generation, recent works have also demonstrated their impressive ability to address a number of inverse problems in an unsupervised way, by properly constraining the s...
2303.14925
Stratifications of abelian categories
This paper studies abelian categories that can be decomposed into smaller abelian categories via iterated recollements - such a decomposition we call a stratification. Examples include the categories of (equivariant) perverse sheaves and epsilon-stratified categories (in particular highest weight categories) in the sen...
Giulian Wiggins
2023-03-27T05:48:34Z
http://arxiv.org/abs/2303.14925v1
# Stratifications of abelian categories ###### Abstract. This paper is a study of abelian categories that can be decomposed into smaller abelian categories via iterated recollements - such a decomposition we call a _stratification_. Examples include the categories of (equivariant) perverse sheaves and \(\varepsilon\)...
2308.07395
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models
Text injection for automatic speech recognition (ASR), wherein unpaired text-only data is used to supplement paired audio-text data, has shown promising improvements for word error rate. This study examines the use of text injection for auxiliary tasks, which are the non-ASR tasks often performed by an E2E model. In th...
Shaan Bijwadia, Shuo-yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang, Tara N. Sainath
2023-08-14T18:28:04Z
http://arxiv.org/abs/2308.07395v1
# Text Injection for Capitalization and Turn-Taking Prediction in Speech Models ###### Abstract Text injection for automatic speech recognition (ASR), wherein unpaired text-only data is used to supplement paired audio-text data, has shown promising improvements for word error rate. This study examines the use of text...
2306.14123
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
Federated learning (FL) has been a hot topic in recent years. Ever since it was introduced, researchers have endeavored to devise FL systems that protect privacy or ensure fair results, with most research focusing on one or the other. As two crucial ethical notions, the interactions between privacy and fairness are com...
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
2023-06-25T04:38:19Z
http://arxiv.org/abs/2306.14123v1
# Privacy and Fairness in Federated Learning: on the Perspective of Trade-off ###### Abstract. Federated learning (FL) has been a hot topic in recent years. Ever since it was introduced, researchers have endeavored to devise FL systems that protect privacy or ensure fair results, with most research focusing on one or...
2307.03776
Double-$Q$ spin chirality stripes in the anomalous Hall antiferromagnet CoNb$_3$S$_6$
The metallic antiferromagnet CoNb$_3$S$_6$ exhibits a giant anomalous Hall effect (AHE) that cannot be explained by a collinear N\'eel order on intercalated Co ions. Thus, a noncoplanar structure is expected. We carried out resonant elastic x-ray scattering (REXS) to reexamine the magnetic structure of CoNb$_3$S$_6$ an...
Ben Zager, Raymond Fan, Paul Steadman, Kemp Plumb
2023-07-07T18:00:12Z
http://arxiv.org/abs/2307.03776v1
# Double-\(Q\) spin chirality stripes in the anomalous Hall antiferromagnet CoNb\({}_{3}\)S\({}_{6}\) ###### Abstract The metallic antiferromagnet CoNb\({}_{3}\)S\({}_{6}\) exhibits a giant anomalous Hall effect (AHE) that cannot be explained by a collinear Neel order on intercalated Co ions. Thus, a noncoplanar stru...
2305.02211
Influence zones for continuous beam systems
Unlike influence lines, the concept of influence zones is remarkably absent within the field of structural engineering, despite its existence in the closely related domain of geotechnics. This paper proposes the novel concept of a structural influence zone in relation to continuous beam systems and explores its size nu...
Adrien Gallet, Andrew Liew, Iman Hajirasouliha, Danny Smyl
2023-02-24T11:14:15Z
http://arxiv.org/abs/2305.02211v1
# Influence zones for continuous beam systems ###### Abstract Unlike influence lines, the concept of influence zones is remarkably absent within the field of structural engineering, despite its existence in the closely related domain of geotechnics. This paper proposes the novel concept of a structural influence zone...
2307.13565
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Decision-focused learning (DFL) is an emerging paradigm that integrates machine learning (ML) and constrained optimization to enhance decision quality by training ML models in an end-to-end system. This approach shows significant potential to revolutionize combinatorial decision-making in real-world applications that o...
Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
2023-07-25T15:17:31Z
http://arxiv.org/abs/2307.13565v4
# Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities ###### Abstract Decision-focused learning (DFL) is an emerging paradigm in machine learning which trains a model to optimize decisions, integrating prediction and optimization in an end-to-end system. This paradigm holds th...
2307.04019
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments
Robotic navigation in unknown, cluttered environments with limited sensing capabilities poses significant challenges in robotics. Local trajectory optimization methods, such as Model Predictive Path Intergal (MPPI), are a promising solution to this challenge. However, global guidance is required to ensure effective nav...
Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
2023-07-08T17:33:20Z
http://arxiv.org/abs/2307.04019v3
# GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments ###### Abstract Robotic navigation in unknown, cluttered environments with limited sensing capabilities poses significant challenges in robotics. Local trajectory optimization methods, such as Model Predictive Path Integral (MPPI), ar...
2305.12002
XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters
In recent years, pre-trained language models have undergone rapid development with the emergence of large-scale models. However, there is a lack of open-sourced chat models specifically designed for the Chinese language, especially in the field of Chinese finance, at the scale of hundreds of billions. To address this g...
Xuanyu Zhang, Qing Yang, Dongliang Xu
2023-05-19T21:01:20Z
http://arxiv.org/abs/2305.12002v1
# XuanYuan 2.0: A Large Chinese Financial Chat Model ###### Abstract In recent years, pre-trained language models have undergone rapid development with the emergence of large-scale models. However, there is a lack of open-sourced chat models specifically designed for the Chinese language, especially in the field of C...
2306.02999
Von Neumann Dimensions and Trace Formulas I: Limit Multiplicities
Given a connected semisimple Lie group $G$ and an arithmetic subgroup $\Gamma$, it is well-known that each irreducible representation $\pi$ of $G$ occurs in the discrete spectrum $L^2_{\text{disc}}(\Gamma\backslash G)$ of $L^2(\Gamma\backslash G)$ with at most a finite multiplicity $m_{\Gamma}(\pi)$. While $m_{\Gamma}(...
Jun Yang
2023-06-05T16:10:07Z
http://arxiv.org/abs/2306.02999v1
# Von Neumann dimensions and trace formulas I: limit multiplicities ###### Abstract. Given a connected semisimple Lie group \(G\) and an arithmetic subgroup \(\Gamma\), it is well-known that each irreducible representation \(\pi\) of \(G\) occurs in the discrete spectrum \(L^{2}_{\mathrm{disc}}(\Gamma\backslash G)\) ...
2304.05657
Towards pore-scale simulation of combustion in porous media using a low-Mach hybrid lattice Boltzmann/finite difference solver
A hybrid numerical model previously developed for combustion simulations is extended in this article to describe flame propagation and stabilization in porous media. The model, with a special focus on flame/wall interaction processes, is validated via corresponding benchmarks involving flame propagation in channels wit...
S. A. Hosseini, Dominique Thevenin
2023-04-12T07:23:01Z
http://arxiv.org/abs/2304.05657v1
Towards pore-scale simulation of combustion in porous media using a low-Mach hybrid lattice Boltzmann/finite difference solver ###### Abstract A hybrid numerical model previously developed for combustion simulations is extended in this article to describe flame propagation and stabilization in porous media. The model...
2301.07846
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection
With the increasing prevalence of scalable file systems in the context of High Performance Computing (HPC), the importance of accurate anomaly detection on runtime logs is increasing. But as it currently stands, many state-of-the-art methods for log-based anomaly detection, such as DeepLog, have encountered numerous ch...
Chris Egersdoerfer, Dong Dai, Di Zhang
2023-01-19T01:54:48Z
http://arxiv.org/abs/2301.07846v1
# ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection ###### Abstract With the increasing prevalence of scalable file systems in the context of High Performance Computing (HPC), the importance of accurate anomaly detection on runtime logs is increasing. But as it currently stands, many state-of-the-...
2305.04660
Rotational Slippage Prediction from Segmentation of Tactile Images
Adding tactile sensors to a robotic system is becoming a common practice to achieve more complex manipulation skills than those robotics systems that only use external cameras to manipulate objects. The key of tactile sensors is that they provide extra information about the physical properties of the grasping. In this ...
Julio Castaño-Amoros, Pablo Gil
2023-05-08T12:23:47Z
http://arxiv.org/abs/2305.04660v1
# Rotational Slippage Prediction from Segmentation of Tactile Images ###### Abstract Adding tactile sensors to a robotic system is becoming a common practice to achieve more complex manipulation skills than those robotics systems that only use external cameras to manipulate objects. The key of tactile sensors is that...
2310.11965
Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks
We introduce a novel and efficient method for Event Coreference Resolution (ECR) applied to a lower-resourced language domain. By framing ECR as a graph reconstruction task, we are able to combine deep semantic embeddings with structural coreference chain knowledge to create a parameter-efficient family of Graph Autoen...
Loic De Langhe, Orphée De Clercq, Veronique Hoste
2023-10-18T13:44:58Z
http://arxiv.org/abs/2310.11965v1
# Filling in the Gaps: ###### Abstract We introduce a novel and efficient method for Event Coreference Resolution (ECR) applied to a lower-resourced language domain. By framing ECR as a graph reconstruction task, we are able to combine deep semantic embeddings with structural coreference chain knowledge to create a p...
2301.06580
Construction and Analysis of a Discrete Heat Equation Using Dynamic Consistency: The Meso-scale Limit
We present and analyze a new derivation of the meso-level behavior of a discrete microscopic model of heat transfer. This construction is based on the principle of dynamic consistency. Our work reproduces and corrects, when needed, all the major previous expressions which provide modifications to the standard heat PDE....
Ronald E. Mickens, Talitha Washington
2023-01-16T19:36:22Z
http://arxiv.org/abs/2301.06580v1
Construction and analysis of a discrete heat equation using dynamic consistency: the meso-scale limit ###### Abstract. We present and analyze a new derivation of the meso-level behavior of a discrete microscopic model of heat transfer. This construction is based on the principle of dynamic consistency. Our work repro...
2305.14473
Weighted maximal inequalities on hyperbolic spaces
In this work we develop a weight theory in the setting of hyperbolic spaces. Our starting point is a variant of the well-known endpoint Fefferman-Stein inequality for the centered Hardy-Littlewood maximal function. This inequality generalizes, in the hyperbolic setting, the weak $(1,1)$ estimates obtained by Str\"omber...
Jorge Antezana, Sheldy Ombrosi
2023-05-23T19:02:41Z
http://arxiv.org/abs/2305.14473v1
# Weighted maximal inequalities on hyperbolic spaces ###### Abstract. In this work we develop a weight theory in the setting of hyperbolic spaces. Our starting point is a variant of the well-known endpoint Fefferman-Stein inequality for the centered Hardy-Littlewood maximal function. This inequality generalizes, in t...
2306.13894
OUXT Polaris: Autonomous Navigation System for the 2022 Maritime RobotX Challenge
OUXT-Polaris has been developing an autonomous navigation system by participating in the Maritime RobotX Challenge 2014, 2016, and 2018. In this paper, we describe the improvement of the previous vessel system. We also indicate the advantage of the improved design. Moreover, we describe the developing method under Covi...
Kenta Okamoto, Akihisa Nagata, Kyoma Arai, Yusei Nagao, Tatsuki Nishimura, Kento Hirogaki, Shunya Tanaka, Masato Kobayashi, Tatsuya Sanada, Masaya Kataoka
2023-06-24T07:57:42Z
http://arxiv.org/abs/2306.13894v1
# OUXT Polaris: Autonomous Navigation System for the 2022 Maritime RobotX Challenge ###### Abstract OUXT-Polaris has been developing an autonomous navigation system by participating in the Maritime RobotX Challenge 2014, 2016, and 2018. In this paper, we describe the improvement of the previous vessel system. We also...
2308.05582
Usability Assessment of the OnlyKey Hardware Two-Factor Authentication Key Among Low Vision or Blind Users
Hardware security keys undoubtedly have advantage for users as "usability" pain is trivial compared to the maximum "security" gain in authentication. Naturally, the hardware factor in the authentication received a widespread adoption amongst average users, as it is ergonomically less demanding than phone texts or authe...
Aziz Zeidieh, Filipo Sharevski
2023-08-10T13:46:36Z
http://arxiv.org/abs/2308.05582v1
Usability Assessment of the OnlyKey Hardware Two-Factor Authentication Key Among Low Vision or Blind Users ###### Abstract Hardware security keys undoubtedly have advantage for users as "usability" pain is trivial compared to the maximum "security" gain in authentication. Naturally, the hardware factor in the authent...
2305.14315
Estimating a multivariate Lévy density based on discrete observations
Existing results for the estimation of the L\'evy measure are mostly limited to the onedimensional setting. We apply the spectral method to multidimensional L\'evy processes in order to construct a nonparametric estimator for the multivariate jump distribution. We prove convergence rates for the uniform estimation erro...
Maximilian F. Steffen
2023-05-23T17:51:00Z
http://arxiv.org/abs/2305.14315v1
# Estimating a multivariate Levy density ###### Abstract Existing results for the estimation of the Levy measure are mostly limited to the onedimensional setting. We apply the spectral method to multidimensional Levy processes in order to construct a nonparametric estimator for the multivariate jump distribution. We ...
2308.12798
A preplanned multi-stage platform trial for discovering multiple superior treatments with control of FWER and power
There is a growing interest in the implementation of platform trials, which provide the flexibility to incorporate new treatment arms during the trial and the ability to halt treatments early based on lack of benefit or observed superiority. In such trials, it can be important to ensure that error rates are controlled....
Peter Greenstreet, Thomas Jaki, Alun Bedding, Pavel Mozgunov
2023-08-24T13:57:06Z
http://arxiv.org/abs/2308.12798v1
A preplanned multi-stage platform trial for discovering multiple superior treatments with control of FWER and power ###### Abstract There is a growing interest in the implementation of platform trials, which provide the flexibility to incorporate new treatment arms during the trial and the ability to halt treatments ...
2303.07781
Non-Concentration of Primes in $Γ\backslash PSL_2(\mathbb{R})$
This paper generalizes the result of Sarnak and Ubis \cite{sarnak-ubis} about non-concentration of primes in horocycle orbits on $PSL_2(\mathbb{Z}) \backslash PSL_2(\mathbb{R})$ to any lattice in $PSL_2(\mathbb{R})$. The proof combines the asymptotic result of Str\"ombergsson \parencite{strombergsson} and Venkatesh's m...
Lauritz Streck
2023-03-14T10:45:56Z
http://arxiv.org/abs/2303.07781v1
# Non-concentration of primes in \(\Gamma\backslash PSL_{2}(\mathbb{R})\) ###### Abstract. This paper generalizes the result of Sarnak and Ubis [9] about non-concentration of primes in horocycle orbits on \(PSL_{2}(\mathbb{Z})\backslash PSL_{2}(\mathbb{R})\) to any lattice in \(PSL_{2}(\mathbb{R})\). The proof combin...
2305.03669
Crossing Symmetric Dispersion Relations without Spurious Singularities
Recently, there has been renewed interest in a crossing-symmetric dispersion relation from the 1970s due to its implications for both regular quantum field theory and conformal field theory. However, this dispersion relation introduces nonlocal spurious singularities and requires additional locality constraints for the...
Chaoming Song
2023-05-05T16:38:44Z
http://arxiv.org/abs/2305.03669v2
# Crossing Symmetric Dispersion Relations without Spurious Singularities ###### Abstract Recently, there has been renewed interest in a crossing-symmetric dispersion relation from the 1970s due to its implications for both regular quantum field theory and conformal field theory. However, this dispersion relation intr...
2307.15672
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity
Understanding how external stimuli are encoded in distributed neural activity is of significant interest in clinical and basic neuroscience. To address this need, it is essential to develop analytical tools capable of handling limited data and the intrinsic stochasticity present in neural data. In this study, we propos...
Navid Ziaei, Reza Saadatifard, Ali Yousefi, Behzad Nazari, Sydney S. Cash, Angelique C. Paulk
2023-07-28T17:04:06Z
http://arxiv.org/abs/2307.15672v1
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity ###### Abstract Understanding how external stimuli are encoded in distributed neural activity is of significant interest in clinical and basic neuroscience. To address this need, it is essential to develop analytical ...
2306.05748
Shape-based clustering of synthetic Stokes profiles using k-means and k-Shape
The shapes of Stokes profiles contain much information about the atmospheric conditions that produced them. However, a variety of different atmospheric structures can produce very similar profiles. Thus, it is important for proper interpretation of observations to have a good understanding of how the shapes of Stokes p...
Thore Espedal Moe, Tiago M. D. Pereira, Flavio Calvo, Jorrit Leenaarts
2023-06-09T08:27:26Z
http://arxiv.org/abs/2306.05748v1
# Shape-based clustering of synthetic Stokes profiles using \(k\)-means and \(k\)-Shape ###### Abstract Context:The shapes of Stokes profiles contain much information about the atmospheric conditions that produced them. However, a variety of different atmospheric structures can produce very similar profiles. Thus, it...
2304.02886
Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts
Automatically associating ICD codes with electronic health data is a well-known NLP task in medical research. NLP has evolved significantly in recent years with the emergence of pre-trained language models based on Transformers architecture, mainly in the English language. This paper adapts these models to automaticall...
Yakini Tchouka, Jean-François Couchot, David Laiymani, Philippe Selles, Azzedine Rahmani
2023-04-06T06:31:54Z
http://arxiv.org/abs/2304.02886v1
# Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts ###### Abstract Automatically associating ICD codes with electronic health data is a well-known NLP task in medical research. NLP has evolved significantly in recent years with the emergence of pre-trained language models based on Transf...
2304.13753
Debris Rings from Extrasolar Irregular Satellites
Irregular satellites are the minor bodies found orbiting all four Solar System giant planets, with large semi-major axes, eccentricities, and inclinations. Previous studies have determined that the Solar System's irregular satellites are extremely collisionally evolved populations today, having lost $\sim$99 per cent o...
Kevin T. Hayakawa, Bradley M. S. Hansen
2023-04-26T18:00:04Z
http://arxiv.org/abs/2304.13753v1
# Debris Rings from Extrasolar Irregular Satellites ###### Abstract Irregular satellites are the minor bodies found orbiting all four Solar System giant planets, with large semi-major axes, eccentricities, and inclinations. Previous studies have determined that the Solar System's irregular satellites are extremely co...
2305.04106
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
Pre-trained language models (PLMs) have become a prevalent technique in deep learning for code, utilizing a two-stage pre-training and fine-tuning procedure to acquire general knowledge about code and specialize in a variety of downstream tasks. However, the dynamic nature of software codebases poses a challenge to the...
Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari Sahraoui
2023-05-06T18:00:21Z
http://arxiv.org/abs/2305.04106v2
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code ###### Abstract. Pre-trained language models (PLMs) have become a prevalent technique in deep learning for code, utilizing a two-stage pre-training and fine-tuning procedure to acquire general knowledge ab...
2305.05218
Graph Neural Network-based surrogate model for granular flows
Accurate simulation of granular flow dynamics is crucial for assessing various geotechnical risks, including landslides and debris flows. Granular flows involve a dynamic rearrangement of particles exhibiting complex transitions from solid-like to fluid-like responses. Traditional continuum and discrete numerical metho...
Yongjin Choi, Krishna Kumar
2023-05-09T07:28:12Z
http://arxiv.org/abs/2305.05218v2
# Graph Neural Network-based surrogate model for granular flows ###### Abstract Accurate simulation of granular flow dynamics is crucial for assessing various geotechnical risks, including landslides and debris flows. Granular flows involve a dynamic rearrangement of particles exhibiting complex transitions from soli...
2307.13203
Sensor selection for fine-grained behavior verification that respects privacy (extended version)
A useful capability is that of classifying some agent's behavior using data from a sequence, or trace, of sensor measurements. The sensor selection problem involves choosing a subset of available sensors to ensure that, when generated, observation traces will contain enough information to determine whether the agent's ...
Rishi Phatak, Dylan A. Shell
2023-07-25T02:00:07Z
http://arxiv.org/abs/2307.13203v2
# Sensor selection for fine-grained behavior verification that respects privacy (extended version) ###### Abstract A useful capability is that of classifying some agent's behavior using data from a sequence, or trace, of sensor measurements. The sensor selection problem involves choosing a subset of available sensors...
2308.03695
Quantifiers closed under partial polymorphisms
We study Lindstrom quantifiers that satisfy certain closure properties which are motivated by the study of polymorphisms in the context of constraint satisfaction problems (CSP). When the algebra of polymorphisms of a finite structure B satisfies certain equations, this gives rise to a natural closure condition on the ...
Anuj Dawar, Lauri Hella
2023-08-07T16:12:31Z
http://arxiv.org/abs/2308.03695v1
# Quantifiers closed under partial polymorphisms ###### Abstract We study Lindstrom quantifiers that satisfy certain closure properties which are motivated by the study of polymorphisms in the context of constraint satisfaction problems (CSP). When the algebra of polymorphisms of a finite structure \(\mathfrak{B}\) s...
2305.12764
Global Symmetries and Effective Potential of 2HDM in Orbit Space
We extend the framework of analyzing the 2HDM in its orbit space to study the one-loop effective potential before and after electroweak symmetry breaking. In this framework, we present a comprehensive analysis of global symmetries of the one-loop thermal effective potential in the 2HDM, demonstrating when the global sy...
Qing-Hong Cao, Kun Cheng, Changlong Xu
2023-05-22T06:35:20Z
http://arxiv.org/abs/2305.12764v2
# Global Symmetries and Effective Potential of 2HDM ###### Abstract We extend the framework of analyzing the 2HDM in its orbit space to study the one-loop effective potential before and after electroweak symmetry breaking. In this framework, we present a comprehensive analysis of global symmetries of the one-loop the...
2302.08943
Long Range Object-Level Monocular Depth Estimation for UAVs
Computer vision-based object detection is a key modality for advanced Detect-And-Avoid systems that allow for autonomous flight missions of UAVs. While standard object detection frameworks do not predict the actual depth of an object, this information is crucial to avoid collisions. In this paper, we propose several no...
David Silva, Nicolas Jourdan, Nils Gählert
2023-02-17T15:26:04Z
http://arxiv.org/abs/2302.08943v1
# Long Range Object-Level Monocular Depth Estimation for UAVs ###### Abstract Computer vision-based object detection is a key modality for advanced Detect-And-Avoid systems that allow for autonomous flight missions of UAVs. While standard object detection frameworks do not predict the actual depth of an object, this ...
2310.18941
The intrinsic geometry determined by the Cauchy problems of the Camassa-Holm equation
Pseudospherical surfaces determined by Cauchy problems involving the Camassa-Holm equation are considered herein. We study how global solutions influence the corresponding surface, as well as we investigate two sorts of singularities of the metric: the first one is just when the co-frame of dual form is not linearly in...
Igor Leite Freire
2023-10-29T09:05:39Z
http://arxiv.org/abs/2310.18941v1
# The intrinsic geometry determined by the Cauchy problems of the Camassa-Holm equation ###### Abstract Pseudospherical surfaces determined by Cauchy problems involving the Camassa-Holm equation are considered herein. We study how global solutions influence the corresponding surface, as well as we investigate two sor...
2306.05990
Novikov type inequalities for orbifolds
We show a natural extension of the Novikov numbers associated to the basic cohomology class of a closed $1$-form on an orbifold, thus proving corresponding Novikov inequalities for the compact case.
Fabricio Valencia
2023-06-09T15:59:35Z
http://arxiv.org/abs/2306.05990v1
# Novikov type inequalities for orbifolds ###### Abstract. We show a natural extension of the Novikov numbers associated to the basic cohomology class of a closed 1-form on an orbifold, thus proving corresponding Novikov inequalities for the compact case. 2020 Mathematics Subject Classification: 22A22, 57R18, 57R70 ...
2308.13486
On the Practicality of Dynamic Updates in Fast Searchable Encryption
Searchable encrypted (SE) indexing systems are a useful tool for utilizing cloud services to store and manage sensitive information. However, much of the work on SE systems to date has remained theoretical. In order to make them of practical use, more work is needed to develop optimal protocols and working models for t...
Steven Willoughby
2023-08-25T16:50:02Z
http://arxiv.org/abs/2308.13486v1
# On the Practicality of Dynamic Updates in Fast Searchable Encryption ###### Abstract Searchable encrypted (SE) indexing systems are a useful tool for utilizing cloud services to store and manage sensitive information. However, much of the work on SE systems to date has remained theoretical. In order to make them of...
2305.02577
Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentation
Text reading order is a crucial aspect in the output of an OCR engine, with a large impact on downstream tasks. Its difficulty lies in the large variation of domain specific layout structures, and is further exacerbated by real-world image degradations such as perspective distortions. We propose a lightweight, scalable...
Renshen Wang, Yasuhisa Fujii, Alessandro Bissacco
2023-05-04T06:21:00Z
http://arxiv.org/abs/2305.02577v1
# Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentation ###### Abstract Text reading order is a crucial aspect in the output of an OCR engine, with a large impact on downstream tasks. Its difficulty lies in the large variation of domain specific layout structures, and is further exacerbated by re...
2306.00630
Class Anchor Margin Loss for Content-Based Image Retrieval
The performance of neural networks in content-based image retrieval (CBIR) is highly influenced by the chosen loss (objective) function. The majority of objective functions for neural models can be divided into metric learning and statistical learning. Metric learning approaches require a pair mining strategy that ofte...
Alexandru Ghita, Radu Tudor Ionescu
2023-06-01T12:53:10Z
http://arxiv.org/abs/2306.00630v2
# Class Anchor Margin Loss for Content-Based Image Retrieval ###### Abstract. The performance of neural networks in content-based image retrieval (CBIR) is highly influenced by the chosen loss (objective) function. The majority of objective functions for neural models can be divided into metric learning and statistic...
2304.01357
Excavation Problems in Elamite Mathematics
In this article, we study the problems found in the Susa Mathematical Texts No.\,24 and No.\,25 (\textbf{SMT No.\,24} and \textbf{SMT No.\,25}) which concern excavation projects such as canals and holes. We also examine certain Elamite structures, such as the canal systems serving Susa and a reservoir at the ziggurat o...
Nasser Heydari, Kazuo Muroi
2023-02-09T17:58:09Z
http://arxiv.org/abs/2304.01357v1
# Excavation Problems in Elamite Mathematics ###### Abstract In this article, we study the problems found in the Susa Mathematical Texts No. 24 and No. 25 (**SMT No. 24** and **SMT No. 25**) which concern excavation projects such as canals and holes. We also examine certain Elamite structures, such as the canal syste...
2304.11144
Multifractal Properties of Tribonacci Chains
We introduce two 1D tight-binding models based on the Tribonacci substitution, the hopping and on-site Tribonacci chains, which generalize the Fibonacci chain. For both hopping and on-site models, a perturbative real-space renormalization procedure is developed. We show that the two models are equivalent at the fixed p...
Julius Krebbekx, Anouar Moustaj, Karma Dajani, Cristiane Morais Smith
2023-04-21T17:40:46Z
http://arxiv.org/abs/2304.11144v2
# Multifractal Properties of Tribonacci Chains ###### Abstract We introduce two 1D tight-binding models based on the Tribonacci substitution, the hopping and on-site Tribonacci chains, which generalize the Fibonacci chain. For both hopping and on-site models, a perturbative real-space renormalization procedure is dev...
2310.13814
The Turán and Laguerre inequalities for quasi-polynomial-like functions
This paper deals with both the higher order Tur\'an inequalities and the Laguerre inequalities for quasi-polynomial-like functions -- that are expressions of the form $f(n)=c_l(n)n^l+\cdots+c_d(n)n^d+o(n^d)$, where $d,l\in\mathbb{N}$ and $d\leqslant l$. A natural example of such a function is the $A$-partition function...
Krystian Gajdzica
2023-10-20T21:05:21Z
http://arxiv.org/abs/2310.13814v1
# The Turan and Laguerre Inequalities for Quasi-Polynomial-like Functions ###### Abstract. This paper deals with both the higher order Turan inequalities and the Laguerre inequalities for quasi-polynomial-like functions -- that are expressions of the form \(f(n)=c_{l}(n)n^{l}+\cdots+c_{d}(n)n^{d}+o(n^{d})\), where \(...
2305.10173
Quantum theory without the Axiom of choice, and Lefschetz Quantum Physics
In this conceptual paper, we discuss quantum formalisms which do not use the famous Axiom of Choice. We also consider the fundamental problem which addresses the (in)correctness of having the complex numbers as the base field for Hilbert spaces in the K{\o}benhavn interpretation of quantum theory, and propose a new app...
Koen Thas
2023-05-17T12:57:19Z
http://arxiv.org/abs/2305.10173v1
# Quantum theory without the axiom of choice, and Lefschetz quantum physics ###### Abstract. In this conceptual paper, we discuss quantum formalisms which do not use the famous Axiom of Choice. We also consider the fundamental problem which addresses the (in)correctness of having the complex numbers as the base field...
2307.11414
The Derived Deligne Conjecture
Derived $A_\infty$-algebras have a wealth of theoretical advantages over regular $A_\infty$-algebras. However, due to their bigraded nature, in practice they are often unwieldy to work with. We develop a framework involving brace algebras on operads which allows us to study derived $A_\infty$ algebras in a new conceptu...
Javier Aguilar Martín, Constanze Roitzheim
2023-07-21T08:16:23Z
http://arxiv.org/abs/2307.11414v3
# The derived Deligne conjecture ###### Abstract. This paper is based on the author's PhD Thesis under the supervision of Constanze Roitzheim. This research was founded by a GTA scholarship at the University of Kent. The author would also like to thank Sarah Whitehouse for her contributions. Key words and phrases:Op...
2306.06241
Almost paratopological groups
A class of almost paratopological groups is introduced, which (1) contains paratopological groups and Hausdorff quasitopological groups; (2) is closed under products; (3) subgroups. Almost paratopological $T_1$ groups $G$ are characterized by the fact that $\{(x,y)\in G^2: xy=e\}$ is closed in $G^2$. A compact almost p...
Evgenii Reznichenko
2023-06-09T20:27:33Z
http://arxiv.org/abs/2306.06241v2
# Almost paratopological groups ###### Abstract A class of almost paratopological groups is introduced, which (1) contains paratopological groups and Hausdorff quasitopological groups; (2) is closed under products; (3) subgroups. Almost paratopological \(T_{1}\) groups \(G\) are characterized by the fact that \(\{(x,...
2301.12293
ACL-Fig: A Dataset for Scientific Figure Classification
Most existing large-scale academic search engines are built to retrieve text-based information. However, there are no large-scale retrieval services for scientific figures and tables. One challenge for such services is understanding scientific figures' semantics, such as their types and purposes. A key obstacle is the ...
Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles
2023-01-28T20:27:35Z
http://arxiv.org/abs/2301.12293v1
# ACL-Fig: A Dataset for Scientific Figure Classification ###### Abstract Most existing large-scale academic search engines are built to retrieve text-based information. However, there are no large-scale retrieval services for scientific figures and tables. One challenge for such services is understanding scientific ...
2303.04288
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
We study the problem of privately estimating the parameters of $d$-dimensional Gaussian Mixture Models (GMMs) with $k$ components. For this, we develop a technique to reduce the problem to its non-private counterpart. This allows us to privatize existing non-private algorithms in a blackbox manner, while incurring only...
Jamil Arbas, Hassan Ashtiani, Christopher Liaw
2023-03-07T23:24:27Z
http://arxiv.org/abs/2303.04288v2
# Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ###### Abstract We study the problem of privately estimating the parameters of \(d\)-dimensional Gaussian Mixture Models (GMMs) with \(k\) components. For this, we develop a technique to reduce the problem to its non-private counterpart. This...
2308.11291
Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation
The quality of a wood log in the wood industry depends heavily on the presence of both outer and inner defects, including inner knots that are a result of the growth of tree branches. Today, locating the inner knots require the use of expensive equipment such as X-ray scanners. In this paper, we address the task of pre...
Salim Khazem, Jeremy Fix, Cédric Pradalier
2023-08-22T09:12:11Z
http://arxiv.org/abs/2308.11291v1
# Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation ###### Abstract The quality of a wood log in the wood industry depends heavily on the presence of both outer and inner defects, including inner knots that are a result of the growth of tree branches. Today, locating the inner knots require...
2310.02919
Attention-based Multi-task Learning for Base Editor Outcome Prediction
Human genetic diseases often arise from point mutations, emphasizing the critical need for precise genome editing techniques. Among these, base editing stands out as it allows targeted alterations at the single nucleotide level. However, its clinical application is hindered by low editing efficiency and unintended muta...
Amina Mollaysa, Ahmed Allam, Michael Krauthammer
2023-10-04T16:01:06Z
http://arxiv.org/abs/2310.02919v2
# Attention-based Multi-task Learning for Base Editor Outcome Prediction ###### Abstract Human genetic diseases often arise from point mutations, emphasizing the critical need for precise genome editing techniques. Among these, base editing stands out as it allows targeted alterations at the single nucleotide level. ...