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
2302.00890
Neural Common Neighbor with Completion for Link Prediction
In this work, we propose a novel link prediction model and further boost it by studying graph incompleteness. First, we introduce MPNN-then-SF, an innovative architecture leveraging structural feature (SF) to guide MPNN's representation pooling, with its implementation, namely Neural Common Neighbor (NCN). NCN exhibits...
Xiyuan Wang, Haotong Yang, Muhan Zhang
2023-02-02T05:45:09Z
http://arxiv.org/abs/2302.00890v4
# Neural Common Neighbor with Completion for Link Prediction ###### Abstract Despite its outstanding performance in various graph tasks, vanilla Message Passing Neural Network (MPNN) usually fails in link prediction tasks, as it only uses representations of two individual target nodes and ignores the pairwise relatio...
2304.04978
StageInteractor: Query-based Object Detector with Cross-stage Interaction
Previous object detectors make predictions based on dense grid points or numerous preset anchors. Most of these detectors are trained with one-to-many label assignment strategies. On the contrary, recent query-based object detectors depend on a sparse set of learnable queries and a series of decoder layers. The one-to-...
Yao Teng, Haisong Liu, Sheng Guo, Limin Wang
2023-04-11T04:50:13Z
http://arxiv.org/abs/2304.04978v2
# StageInteractor: Query-based Object Detector with Cross-stage Interaction ###### Abstract Previous object detectors make predictions based on dense grid points or numerous preset anchors. Most of these detectors are trained with one-to-many label assignment strategies. On the contrary, recent query-based object det...
2308.12217
Funnel MPC for nonlinear systems with arbitrary relative degree
The Model Predictive Control (MPC) scheme Funnel MPC enables output tracking of smooth reference signals with prescribed error bounds for nonlinear multi-input multi-output systems with stable internal dynamics. Earlier works achieved the control objective for system with relative degree restricted to one or incorporat...
Thomas Berger, Dario Dennstädt
2023-08-23T15:55:37Z
http://arxiv.org/abs/2308.12217v2
# Funnel MPC for nonlinear systems with arbitrary relative degree1 ###### Abstract The Model Predictive Control (MPC) scheme Funnel MPC enables output tracking of smooth reference signals with prescribed error bounds for nonlinear multi-input multi-output systems with stable internal dynamics. Earlier works achieved ...
2310.07336
Numerical Simulation Study of Neutron-Proton Scattering using Phase Function Method
In this article, we propose a numerical approach to solve quantum mechanical scattering problems, using phase function method, by considering neutron-proton interaction as an example. The nonlinear phase equation, obtained from the time-independent Schrodinger equation, is solved using the Runge-Kutta method for obtain...
Shikha Awasthi, Anil Khachi, Lalit Kumar, O. S. K. S. Sastri
2023-10-11T09:29:19Z
http://arxiv.org/abs/2310.07336v1
# Numerical Simulation Study of Neutron-Proton Scattering using Phase Function Method ###### Abstract In this article, we propose a numerical approach to solve quantum mechanical scattering problems, using phase function method, by considering neutron-proton interaction as an example. The nonlinear phase equation, ob...
2303.00561
A method for determining Cartan geometries from the local behavior of automorphisms
For the purpose of determining global properties of Cartan geometries from local information about automorphisms, we introduce a construction for a Cartan geometry that captures the local behavior of a given automorphism near a distinguished element. The result of this construction, which we call the sprawl generated b...
Jacob W. Erickson
2023-03-01T15:05:21Z
http://arxiv.org/abs/2303.00561v3
# A method for determining Cartan geometries from the local behavior of automorphisms ###### Abstract. For the purpose of determining global properties of Cartan geometries from local information about automorphisms, we introduce a construction for a Cartan geometry that captures the local behavior of a given automor...
2310.18216
Kibble-Zurek dynamics in the anisotropic Ising model of the Si(001) surface
As a simplified description of the non-equilibrium dynamics of buckled dimers on the Si(001) surface, we consider the anisotropic 2D Ising model and study the freezing of spatial correlations during a cooling quench across the critical point. We observe a crossover from 1D to 2D behavior. For rapid cooling, we find eff...
Gernot Schaller, Friedemann Queisser, Seyedeh Parya Katoorani, Christian Brand, Christian Kohlfürst, Mark R. Freeman, Alfred Hucht, Peter Kratzer, Björn Sothmann, Michael Horn-von Hoegen, Ralf Schützhold
2023-10-27T15:44:41Z
http://arxiv.org/abs/2310.18216v2
# Sequential Kibble-Zurek dynamics in the anisotropic Ising model of the Si(001) surface ###### Abstract As a simplified description of the non-equilibrium dynamics of buckled dimers on the Si(001) surface, we consider the anisotropic 2D Ising model and study the freezing of spatial correlations during a cooling quen...
2308.02004
The Quest for the Nature of the Dark Matter: The Need of a New Paradigm
The phenomenon of the Dark matter baffles the researchers: the underlying dark particle has escaped so far the detection and its astrophysical role appears complex and entangled with that of the standard luminous particles. We propose that, in order to act efficiently, alongside with abandoning the current $\Lambda CDM...
Fabrizio Nesti, Paolo Salucci, Nicola Turini
2023-08-03T19:39:03Z
http://arxiv.org/abs/2308.02004v1
# The Quest for the Nature of the Dark Matter: The Need of a New Paradigm ###### Abstract The phenomenon of the Dark matter baffles the researchers: the underlying dark particle has escaped so far the detection and its astrophysical role appears complex and entangled with that of the standard luminous particles. We p...
2310.17125
The production of charmonium pentaquark from b-baryon and B-meson decay: SU(3) analysis
In this paper, we study the production of charmonium pentaquark $c \bar c q q q$ from bottom baryon and B-meson decays under the flavor SU(3) symmetry. Decay amplitudes for various processes are parametrized in terms of the SU(3) irreducible nonperturbative amplitudes. A number of relations between decay widths have be...
Wei-Hao Han, Ye Xing, Ji Xu
2023-10-26T03:52:37Z
http://arxiv.org/abs/2310.17125v2
# The production of charmonium pentaquark from b-baryon and B-meson decay: SU(3) analysis ###### Abstract In this paper, we study the production of charmonium pentaquark \(c\bar{c}qqq\) from bottom baryon and B-meson decays under the flavor SU(3) symmetry. Decay amplitudes for various processes are parametrized in te...
2310.18570
The Roelcke Precompactness and Compactifications of Transformations Groups of Discrete Spaces and Homogeneous Chains
The Roelcke precompactness of transformation groups of discrete spaces and chains in the permutation topology and LOTS in the topology of pointwise convergence is studied. For ultratransitive actions compactifications of transformation groups using the Ellis construction are built.
B. V. Sorin
2023-10-28T02:35:12Z
http://arxiv.org/abs/2310.18570v2
The Roelcke Precompactness and Compactifications of Transformations Groups of Discrete Spaces and Homogeneous Chains ###### Abstract The Roelcke precompactness of transformation groups of discrete spaces and chains in the permutation topology and LOTS in the topology of pointwise convergence is studied. For ultratran...
2308.02762
Fixation times on directed graphs
Computing the rate of evolution in spatially structured populations is difficult. A key quantity is the fixation time of a single mutant with relative reproduction rate $r$ which invades a population of residents. We say that the fixation time is "fast" if it is at most a polynomial function in terms of the population ...
David A. Brewster, Martin A. Nowak, Josef Tkadlec
2023-08-05T01:44:03Z
http://arxiv.org/abs/2308.02762v2
# Fixation times on directed graphs ###### Abstract Computing the rate of evolution in spatially structured populations can be difficult. A key quantity that describes evolutionary dynamics is the fixation time of a single mutant with relative reproduction rate \(r\geqslant 1\) who invades a population of residents. ...
2310.06996
A study of the MAD accretion state across black hole spins for radiatively inefficient accretion flows
The study of Magnetically Arrested Disks (MAD) attract strong interest in recent years, as these disk configurations were found to generate strong jets as observed in many accreting systems. Here, we present the results of 14 general relativistic magnetohydrodynamic(GRMHD) simulations of advection dominated accretion f...
G. -Q. Zhang, D. Bégué, A. Pe'er, B. -B. Zhang
2023-10-10T20:27:09Z
http://arxiv.org/abs/2310.06996v1
A study of the MAD accretion state across black hole spins for radiatively inefficient accretion flows. ###### Abstract The study of Magnetically Arrested Disks (MAD) attract strong interest in recent years, as these disk configurations were found to generate strong jets as observed in many accreting systems. Here, w...
2305.02946
What Else Can Voronoi Diagrams Do For Diameter In Planar Graphs?
The Voronoi diagrams technique was introduced by Cabello to compute the diameter of planar graphs in subquadratic time. We present novel applications of this technique in static, fault-tolerant, and partially-dynamic undirected unweighted planar graphs, as well as some new limitations. 1. In the static case, we give ...
Amir Abboud, Shay Mozes, Oren Weimann
2023-05-04T15:48:25Z
http://arxiv.org/abs/2305.02946v3
# What Else Can Voronoi Diagrams Do For Diameter In Planar Graphs? ###### Abstract The Voronoi diagrams technique, introduced by Cabello [SODA'17] to compute the diameter of planar graphs in subquadratic time, has revolutionized the field of distance computations in planar graphs. We present novel applications of thi...
2310.17643
Where you go is who you are -- A study on machine learning based semantic privacy attacks
Concerns about data privacy are omnipresent, given the increasing usage of digital applications and their underlying business model that includes selling user data. Location data is particularly sensitive since they allow us to infer activity patterns and interests of users, e.g., by categorizing visited locations base...
Nina Wiedemann, Ourania Kounadi, Martin Raubal, Krzysztof Janowicz
2023-10-26T17:56:50Z
http://arxiv.org/abs/2310.17643v1
# Where you go is who you are - A study on machine learning based semantic privacy attacks ###### Abstract Concerns about data privacy are omnipresent, given the increasing usage of digital applications and their underlying business model that includes selling user data. Location data is particularly sensitive since ...
2305.13693
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in the case of MDS for biomedical literature reviews, where models must synthesize contradicting evidence reported across different documents. Prior work has shown that rather than performing the task, models may exploit shortcu...
Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey E. Kuehl, Erin Bransom, Byron C. Wallace
2023-05-23T05:00:59Z
http://arxiv.org/abs/2305.13693v1
# Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations ###### Abstract Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in the case of MDS for biomedical literature reviews, where models must synthesize contradicting evidence reported ac...
2302.07641
Fuzzification of Fractal Calculus
In this manuscript, fractal and fuzzy calculus are summarized. Fuzzy calculus in terms of fractal limit, continuity, its derivative, and integral are formulated. The fractal fuzzy calculus is a new framework that includes fractal fuzzy derivatives and fractal fuzzy integral. In this framework, fuzzy number-valued funct...
Alireza Khalili Golmankhaneh, Kerri Welch, Cristina Serpa, Palle E. T. Jørgensen
2023-02-13T19:19:24Z
http://arxiv.org/abs/2302.07641v1
# Fuzzification of Fractal Calculus ###### Abstract In this manuscript, fractal and fuzzy calculus are summarized. Fuzzy calculus in terms of fractal limit, continuity, its derivative, and integral are formulated. The fractal fuzzy calculus is a new framework that includes fractal fuzzy derivatives and fractal fuzzy ...
2303.10014
Reliability of Tumour Classification from Multi-Dimensional DCE-MRI Variables using Data Transformations
Summary mean DCE-MRI variables show a clear dependency between signal and noise variance, which can be shown to reduce the effectiveness of difference assessments. Appropriate transformation of these variables supports statistically efficient and robust comparisons. The capabilities of DCE-MRI based descriptions of hep...
S. V. Notley, N. A. Thacker, L. Horsley, R. A. Little, Y. Watson, S. Mullamitha, G. C. Jayson, A. Jackson
2023-03-17T14:37:53Z
http://arxiv.org/abs/2303.10014v1
Reliability of Tumour Classification from Multi-Dimensional DCE-MRI Variables using Data Transformations. ## Abstract Summary mean DCE-MRI variables show a clear dependency between signal and noise variance, which can be shown to reduce the effectiveness of difference assessments. Appropriate transformation of these ...
2310.07450
Broadband Terahertz Generation in a Corrugated Waveguide with matched Phase and Group Velocities
\begin{abstract} We show that it is possible to design corrugated waveguides where phase and group velocities coincide at an inflection point of the dispersion relation, allowing an extended regime of interaction with a charge particle beam. This provides a basis for designing travelling slow-wave structures with a bro...
Sergey S. Siaber, Jonathan Gratus, Rebecca Seviour, Steven P. Jamison, Taylor Boyd
2023-10-11T12:51:42Z
http://arxiv.org/abs/2310.07450v1
# Broadband Terahertz Generation in a Corrugated Waveguide with matched Phase and Group Velocities ###### Abstract We show that it is possible to design corrugated waveguides where phase and group velocities coincide at an inflection point of the dispersion relation, allowing an extended regime of interaction with a ...
2303.09545
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
As machine learning (ML) is increasingly integrated into our everyday Web experience, there is a call for transparent and explainable web-based ML. However, existing explainability techniques often require dedicated backend servers, which limit their usefulness as the Web community moves toward in-browser ML for lower ...
Zijie J. Wang, Duen Horng Chau
2023-03-16T17:56:02Z
http://arxiv.org/abs/2303.09545v1
# WebSHAP: Towards Explaining Any Machine Learning Models Anywhere ###### Abstract. As machine learning (ML) is increasingly integrated into our everyday Web experience, there is a call for transparent and explainable web-based ML. However, existing explainability techniques often require dedicated backend servers, w...
2307.14785
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model
This paper presents a series of approaches aimed at enhancing the performance of Aspect-Based Sentiment Analysis (ABSA) by utilizing extracted semantic information from a Semantic Role Labeling (SRL) model. We propose a novel end-to-end Semantic Role Labeling model that effectively captures most of the structured seman...
Pavel Přibáň, Ondřej Pražák
2023-07-27T11:28:16Z
http://arxiv.org/abs/2307.14785v1
# Improving Aspect-Based Sentiment with ###### Abstract This paper presents a series of approaches aimed at enhancing the performance of Aspect-Based Sentiment Analysis (ABSA) by utilizing extracted semantic information from a Semantic Role Labeling (SRL) model. We propose a novel end-to-end Semantic Role Labeling mo...
2303.06676
Local Search For SMT On Linear and Multilinear Real Arithmetic
Satisfiability Modulo Theories (SMT) has significant application in various domains. In this paper, we focus on quantifier-free Satisfiablity Modulo Real Arithmetic, referred to as SMT(RA), including both linear and non-linear real arithmetic theories. As for non-linear real arithmetic theory, we focus on one of its im...
Bohan Li, Shaowei Cai
2023-03-12T14:33:53Z
http://arxiv.org/abs/2303.06676v2
# Local Search For SMT On Linear and Multilinear Real Arithmetic ###### Abstract Satisfiability Modulo Theories (SMT) has significant application in various domains. In this paper, we focus on Satisfiablity Modulo Real Arithmetic, referred to as SMT(RA), including both linear and non-linear real arithmetic theories. ...
2302.07899
Revisiting oldest stars as cosmological probes: new constraints on the Hubble constant
Despite the tremendous advance of observational cosmology, the value of the Hubble constant ($H_0$) is still controversial (the so called ``Hubble tension'') because of the inconsistency between local/late-time measurements and those derived from the cosmic microwave background. As the age of the Universe is very sensi...
Andrea Cimatti, Michele Moresco
2023-02-15T19:00:03Z
http://arxiv.org/abs/2302.07899v5
# Revisiting oldest stars as cosmological probes: new constraints on the Hubble constant ###### Abstract Despite the tremendous advance of observational cosmology, the value of the Hubble constant (\(H_{0}\)) is still controversial (the so called "Hubble tension") because of the inconsistency between local/late-time ...
2303.01119
Mining the quantum vacuum: quantum tunnelling and particle creation
Particle production from the vacuum is a remarkable aspect of particle physics. Prime examples are the Schwinger process of particle production in strong electric fields and the Hawking process of particle production from black holes. These processes can be viewed as quantum tunnelling of particles from the vacuum. The...
Ian G. Moss, Piotr Z. Stasiak
2023-03-02T10:01:47Z
http://arxiv.org/abs/2303.01119v1
# Mining the quantum vacuum: quantum tunnelling and particle creation ###### Abstract Particle production from the vacuum is a remarkable aspect of particle physics. Prime examples are the Schwinger process of particle production in strong electric fields and the Hawking process of particle production from black hole...
2303.12603
Driveability Constrained Models for Optimal Control of Hybrid Electric Vehicles
This work investigates the effect of three different driveability constraints on the optimal energy management strategy for a p2 parallel hybrid. Two of these constraints are used to prevent frequent gear shifting and engine start/stops, while the third is used to increase the sportiness of the vehicle by maximizing th...
Federico Miretti, Daniela Misul
2023-03-22T14:40:49Z
http://arxiv.org/abs/2303.12603v1
# Driveability Constrained Models for Optimal Control of Hybrid Electric Vehicles ###### Abstract This work investigates the effect of three different driveability constraints on the optimal energy management strategy for a p2 parallel hybrid. Two of these constraints are used to prevent frequent gear shifting and en...
2304.08824
A Dark Matter Probe in Accreting Pulsar-Black Hole Binaries
The accretion of dark matter (DM) into astrophysical black holes slowly increases their mass. The rate of this mass accretion depends on the DM model and the model parameters. If this mass accretion effect can be measured accurately enough, it is possible to rule out some DM models, and, with the sufficient technology ...
Ali Akil, Qianhang Ding
2023-04-18T08:43:22Z
http://arxiv.org/abs/2304.08824v3
# A Dark Matter Probe in Accreting Pulsar-Black Hole Binaries ###### Abstract The accretion of dark matter (DM) into astrophysical black holes slowly increases their mass. The rate of this mass accretion depends on the DM model and the model parameters. If this mass accretion effect can be measured accurately enough,...
2310.04159
Amortized Network Intervention to Steer the Excitatory Point Processes
Excitatory point processes (i.e., event flows) occurring over dynamic graphs (i.e., evolving topologies) provide a fine-grained model to capture how discrete events may spread over time and space. How to effectively steer the event flows by modifying the dynamic graph structures presents an interesting problem, motivat...
Zitao Song, Wendi Ren, Shuang Li
2023-10-06T11:17:28Z
http://arxiv.org/abs/2310.04159v2
# Amortized Network Intervention to Steer the Excitatory Point Processes ###### Abstract We tackle the challenge of _large-scale network intervention_ for guiding _excitatory point processes_, such as infectious disease spread or traffic congestion control. Our model-based reinforcement learning utilizes neural ODEs ...
2303.04061
Noisy intermediate-scale quantum computers
Quantum computers have made extraordinary progress over the past decade, and significant milestones have been achieved along the path of pursuing universal fault-tolerant quantum computers. Quantum advantage, the tipping point heralding the quantum era, has been accomplished along with several waves of breakthroughs. Q...
Bin Cheng, Xiu-Hao Deng, Xiu Gu, Yu He, Guangchong Hu, Peihao Huang, Jun Li, Ben-Chuan Lin, Dawei Lu, Yao Lu, Chudan Qiu, Hui Wang, Tao Xin, Shi Yu, Man-Hong Yung, Junkai Zeng, Song Zhang, Youpeng Zhong, Xinhua Peng, Franco Nori, Dapeng Yu
2023-03-07T17:14:53Z
http://arxiv.org/abs/2303.04061v1
# Noisy intermediate-scale quantum computers ###### Abstract Quantum computers have made extraordinary progress over the past decade, and significant milestones have been achieved along the path of pursuing universal fault-tolerant quantum computers. Quantum advantage, the tipping point heralding the quantum era, has...
2308.06504
Accelerating Relaxation Dynamics in Open Quantum System with Liouvillian Skin Effect
We investigate a non-Hermitian model featuring non-reciprocal gradient hoppings. Through an in-depth analysis of the Liouvillian spectrum and dynamics, we confirm the emergence of the Liouvillian skin effect resulting from the non-reciprocal nature of hoppings in this model. Furthermore, we observe that the presence of...
Zeqing Wang, Yao Lu, Yi Peng, Ran Qi, Yucheng Wang, Jianwen Jie
2023-08-12T08:41:48Z
http://arxiv.org/abs/2308.06504v1
# Accelerating Relaxation Dynamics in Open Quantum System with Liouvillian Skin Effect ###### Abstract We investigate a non-Hermitian model featuring non-reciprocal gradient hoppings. Through an in-depth analysis of the Liouvillian spectrum and dynamics, we confirm the emergence of the Liouvillian skin effect resulti...
2301.05506
On the feasibility of attacking Thai LPR systems with adversarial examples
Recent advances in deep neural networks (DNNs) have significantly enhanced the capabilities of optical character recognition (OCR) technology, enabling its adoption to a wide range of real-world applications. Despite this success, DNN-based OCR is shown to be vulnerable to adversarial attacks, in which the adversary ca...
Chissanupong Jiamsuchon, Jakapan Suaboot, Norrathep Rattanavipanon
2023-01-13T12:17:01Z
http://arxiv.org/abs/2301.05506v1
# On the feasibility of attacking Thai LPR systems with adversarial examples ###### Abstract Recent advances in deep neural networks (DNNs) have significantly enhanced the capabilities of optical character recognition (OCR) technology, enabling its adoption to a wide range of real-world applications. Despite this suc...
2310.13425
An overview of optimization approaches for scheduling and rostering resources in public transportation
Public transport is vital for meeting people's mobility needs. Providers need to plan their services well to offer high quality and low cost. Optimized planning can benefit providers, customers, and municipalities. The planning process for public transport involves various decision problems, such as vehicle and crew pl...
Lucas Mertens, Lena-Antonia Wolbeck, David Rößler, Lin Xie, Natalia Kliewer
2023-10-20T11:27:52Z
http://arxiv.org/abs/2310.13425v1
An overview of optimization approaches for scheduling and rostering resources in public transportation ###### Abstract Public transport is an essential component in satisfying people's growing need for mobility. Thus, providers are required to organize their services well in order to meet the high demand of service q...
2302.04348
Addressing Systematics in the Traceback Age of the $β$ Pictoris Moving Group
We characterize the impact of several sources of systematic errors on the computation of the traceback age of the $\beta$ Pictoris Moving Group ($\beta$PMG). We find that uncorrected gravitational redshift and convective blueshift bias absolute radial velocity measurements by $\sim$ 0.6 kms${}^{-1}$, which leads to err...
Dominic Couture, Jonathan Gagné, René Doyon
2023-02-08T21:35:12Z
http://arxiv.org/abs/2302.04348v1
# Addressing Systematics in the Traceback Age of the \(\beta\) Pictoris Moving Group ###### Abstract We characterize the impact of several sources of systematic errors on the computation of the traceback age of the \(\beta\) Pictoris moving group (\(\beta\)PMG). We find that uncorrected gravitational redshift and con...
2303.14272
Learning to Operate in Open Worlds by Adapting Planning Models
Planning agents are ill-equipped to act in novel situations in which their domain model no longer accurately represents the world. We introduce an approach for such agents operating in open worlds that detects the presence of novelties and effectively adapts their domain models and consequent action selection. It uses ...
Wiktor Piotrowski, Roni Stern, Yoni Sher, Jacob Le, Matthew Klenk, Johan deKleer, Shiwali Mohan
2023-03-24T21:04:16Z
http://arxiv.org/abs/2303.14272v1
# Learning to Operate in Open Worlds by ###### Abstract. Planning agents are ill-equipped to act in novel situations in which their domain model no longer accurately represents the world. We introduce an approach for such agents operating in open worlds that detects the presence of novelties and effectively adapts th...
2301.02269
Taming the Rotating Wave Approximation
The interaction between light and matter is one of the oldest research areas of quantum mechanics, and a field that just keeps on delivering new insights and applications. With the arrival of cavity and circuit quantum electrodynamics we can now achieve strong light-matter couplings which form the basis of most impleme...
Daniel Burgarth, Paolo Facchi, Robin Hillier, Marilena Ligabò
2023-01-05T19:02:24Z
http://arxiv.org/abs/2301.02269v2
# Taming the Rotating Wave Approximation ###### Abstract The interaction between light and matter is one of the oldest research areas of quantum mechanics, and a field that just keeps on delivering new insights and applications. With the arrival of cavity and circuit quantum electrodynamics we can now achieve strong ...
2303.15178
Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning
This paper develops a Deep Reinforcement Learning (DRL)-agent for navigation and control of autonomous surface vessels (ASV) on inland waterways. Spatial restrictions due to waterway geometry and the resulting challenges, such as high flow velocities or shallow banks, require controlled and precise movement of the ASV....
Niklas Paulig, Ostap Okhrin
2023-03-24T07:21:27Z
http://arxiv.org/abs/2303.15178v1
# Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning ###### Abstract This paper develops a Deep Reinforcement Learning (DRL)-agent for navigation and control of autonomous surface vessels (ASV) on inland waterways. Spatial restrictions due to waterway gently following restricted waterways auton...
2309.00248
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models
Generating high-quality labeled image datasets is crucial for training accurate and robust machine learning models in the field of computer vision. However, the process of manually labeling real images is often time-consuming and costly. To address these challenges associated with dataset generation, we introduce "Diff...
Michael Shenoda, Edward Kim
2023-09-01T04:42:03Z
http://arxiv.org/abs/2309.00248v1
# DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models ###### Abstract Generating high-quality labeled image datasets is crucial for training accurate and robust machine learning models in the field of computer vision. However, the process of manually labeling real images i...
2310.15040
SLOG: A Structural Generalization Benchmark for Semantic Parsing
The goal of compositional generalization benchmarks is to evaluate how well models generalize to new complex linguistic expressions. Existing benchmarks often focus on lexical generalization, the interpretation of novel lexical items in syntactic structures familiar from training; structural generalization tasks, where...
Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim
2023-10-23T15:39:09Z
http://arxiv.org/abs/2310.15040v1
# SLOG: A Structural Generalization Benchmark for Semantic Parsing ###### Abstract The goal of compositional generalization benchmarks is to evaluate how well models generalize to new complex linguistic expressions. Existing benchmarks often focus on _lexical generalization_, the interpretation of novel lexical items...
2301.03163
VIPER: A Plasma Wave Detection Instrument onboard Indian Venus Orbiter Spacecraft
Plasma waves are observed in almost all the solar system objects. The planetary ionospheres are capable of sustaining plasma waves which are observed there and play an important role in the ionospheric dynamics. Venus does not possess a global magnetic field unlike Earth. The solar EUV radiation ionizes the neutrals an...
Vipin K Yadav
2023-01-09T04:21:09Z
http://arxiv.org/abs/2301.03163v1
# VIPER:A Plasma Wave Detection Instrument onboard Indian Venus Orbiter Spacecraft ###### Abstract Plasma waves are observed in almost all the solar system objects - planets, their satellites, comets, Sun, interplanetary medium, etc. The planetary ionospheres are capable of sustaining plasma waves which are observed ...
2310.05253
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
Claim verification plays a crucial role in combating misinformation. While existing works on claim verification have shown promising results, a crucial piece of the puzzle that remains unsolved is to understand how to verify claims without relying on human-annotated data, which is expensive to create at a large scale. ...
Haoran Wang, Kai Shu
2023-10-08T18:04:05Z
http://arxiv.org/abs/2310.05253v2
# Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models ###### Abstract Claim verification plays a crucial role in combating misinformation. While existing works on claim verification have shown promising results, a crucial piece of the puzzle that remains unsolved is to understan...
2309.08614
Analyzing Character and Consciousness in AI-Generated Social Content: A Case Study of Chirper, the AI Social Network
This paper delves into an intricate analysis of the character and consciousness of AI entities, with a particular focus on Chirpers within the AI social network. At the forefront of this research is the introduction of novel testing methodologies, including the Influence index and Struggle Index Test, which offers a fr...
Jianwei Luo
2023-08-30T15:40:18Z
http://arxiv.org/abs/2309.08614v1
Analyzing Character and Consciousness in AI-Generated Social Content: A Case Study of Chirper, the AI Social Network ###### Abstract This paper delves into an intricate analysis of the character and consciousness of AI entities, with a particular focus on Chirpers within the AI social network. At the forefront of thi...
2302.05042
On lattice hexagonal crystallization for non-monotone potentials
Let $L =\sqrt{\frac{1}{\Im(z)}}\Big({\mathbb Z}\oplus z{\mathbb Z}\Big)$ where $z \in \mathbb{H}=\{z= x+ i y\;\hbox{or}\;(x,y)\in\mathbb{C}: y>0\}$ be the two dimensional lattices with unit density. Assuming that $\alpha\geq1$, we prove that \begin{equation}\aligned\nonumber \min_{L}\sum_{\mathbb{P}\in L, |L|=1}|\mathb...
Senping Luo, Juncheng Wei
2023-02-10T04:07:54Z
http://arxiv.org/abs/2302.05042v1
# On lattice hexagonal crystallization for non-monotone potentials ###### Abstract. Let \(L=\sqrt{\frac{1}{\mathbb{m}(z)}}\Big{(}\mathbb{Z}\oplus z\mathbb{Z}\Big{)}\) where \(z\in\mathbb{H}=\{z=x+iy\text{ or }(x,y)\in\mathbb{C}:y>0\}\) be the two dimensional lattices with unit density. Assuming that \(\alpha\geq 1\),...
2308.06510
Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data
Detailed anatomical information is essential to optimize medical decisions for surgical and pre-operative planning in patients with congenital heart disease. The visualization techniques commonly used in clinical routine for the exploration of complex cardiac data are based on multi-planar reformations, maximum intensi...
Irum Baseer, Israel Valverde, Abdel H. Moustafa, Josep Blat, Oscar Camara
2023-08-12T09:10:07Z
http://arxiv.org/abs/2308.06510v1
Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data ###### Abstract Detailed anatomical information is essential to optimize medical decisions for surgical and pre-operative planning in patients with congenital heart disease. The visualization tec...
2305.09807
On Dataset Transferability in Active Learning for Transformers
Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. While the effectiveness of AL for fine-tuning transformer-based pre-trained language models (PLMs) has been demonstrated, it is less clear to what extent the AL gains obtained with one model transfer to other...
Fran Jelenić, Josip Jukić, Nina Drobac, Jan Šnajder
2023-05-16T21:10:54Z
http://arxiv.org/abs/2305.09807v2
# On Dataset Transferability in Active Learning for Transformers ###### Abstract Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. While the effectiveness of AL for fine-tuning transformer-based pre-trained language models (PLMs) has been demonstrated, it ...
2307.06395
Accretion Properties and Estimation of Spin of Galactic Black Hole Candidate Swift J1728.9-3613 with NuSTAR during its 2019 outburst
Black hole X-ray binaries (BHXRBs) play a crucial role in understanding the accretion of matter onto a black hole. Here, we focus on exploring the transient BHXRB \source~discovered by Swift/BAT and MAXI/GSC during its January 2019 outburst. We present measurements on its accretion properties, long time-scale variabili...
Skye R. Heiland, Arka Chatterjee, Samar Safi-Harb, Arghajit Jana, Jeremy Heyl
2023-07-12T18:26:39Z
http://arxiv.org/abs/2307.06395v1
Accretion Properties and Estimation of Spin of Galactic Black Hole Candidate Swift J1728.9-3613 with _NuSTAR_ during its 2019 outburst ###### Abstract Black hole X-ray binaries (BHXRBs) play a crucial role in understanding the accretion of matter onto a black hole. Here, we focus on exploring the transient BHXRB Swif...
2309.01156
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
Sampling from known probability distributions is a ubiquitous task in computational science, underlying calculations in domains from linguistics to biology and physics. Generative machine-learning (ML) models have emerged as a promising tool in this space, building on the success of this approach in applications such a...
Kyle Cranmer, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Phiala E. Shanahan
2023-09-03T12:25:59Z
http://arxiv.org/abs/2309.01156v1
# Advances in machine-learning-based sampling ###### Abstract Sampling from known probability distributions is a ubiquitous task in computational science, underlying calculations in domains from linguistics to biology and physics. Generative machine-learning (ML) models have emerged as a promising tool in this space,...
2310.18564
A General Framework for Robust G-Invariance in G-Equivariant Networks
We introduce a general method for achieving robust group-invariance in group-equivariant convolutional neural networks ($G$-CNNs), which we call the $G$-triple-correlation ($G$-TC) layer. The approach leverages the theory of the triple-correlation on groups, which is the unique, lowest-degree polynomial invariant map t...
Sophia Sanborn, Nina Miolane
2023-10-28T02:27:34Z
http://arxiv.org/abs/2310.18564v2
# A General Framework for Robust \(G\)-Invariance ###### Abstract We introduce a general method for achieving robust group-invariance in group-equivariant convolutional neural networks (\(G\)-CNNs), which we call the \(G\)-triple-correlation (\(G\)-TC) layer. The approach leverages the theory of the triple-correlatio...
2305.13687
Flexible Bayesian Quantile Analysis of Residential Rental Rates
This article develops a random effects quantile regression model for panel data that allows for increased distributional flexibility, multivariate heterogeneity, and time-invariant covariates in situations where mean regression may be unsuitable. Our approach is Bayesian and builds upon the generalized asymmetric Lapla...
Ivan Jeliazkov, Shubham Karnawat, Mohammad Arshad Rahman, Angela Vossmeyer
2023-05-23T04:49:12Z
http://arxiv.org/abs/2305.13687v2
# Flexible Bayesian Quantile Analysis of Residential Rental Rates ###### Abstract This article develops a random effects quantile regression model for panel data that allows for increased distributional flexibility, multivariate heterogeneity, and time-invariant covariates in situations where mean regression may be u...
2305.02952
Ultrahigh oxygen ion mobility in ferroelectric hafnia
Ferroelectrics and ionic conductors are important functional materials, each supporting a plethora of applications in information and energy technology. The underlying physics governing their functional properties is ionic motion, and yet studies of ferroelectrics and ionic conductors are often considered separate fiel...
Liyang Ma, Jing Wu, Tianyuan Zhu, Yiwei Huang, Qiyang Lu, Shi Liu
2023-05-04T15:56:01Z
http://arxiv.org/abs/2305.02952v2
# Ultrahigh oxygen ion mobility in ferroelectric hafnia ###### Abstract Ferroelectrics and ionic conductors are important functional materials, each supporting a plethora of applications in information and energy technology. The underlying physics governing their functional properties is ionic motion, and yet studies...
2310.10138
Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction
The embedding of Biomedical Knowledge Graphs (BKGs) generates robust representations, valuable for a variety of artificial intelligence applications, including predicting drug combinations and reasoning disease-drug relationships. Meanwhile, contrastive learning (CL) is widely employed to enhance the distinctiveness of...
Zhiguang Fan, Yuedong Yang, Mingyuan Xu, Hongming Chen
2023-10-16T07:27:43Z
http://arxiv.org/abs/2310.10138v1
# Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction ###### Abstract. The embedding of Biomedical Knowledge Graphs (BKGs) generates robust representations, valuable for a variety of artificial intelligence applications, including predicting drug combinations and reasoning disease-drug...
2302.07655
Fault Injection in Native Logic-in-Memory Computation on Neuromorphic Hardware
Logic-in-memory (LIM) describes the execution of logic gates within memristive crossbar structures, promising to improve performance and energy efficiency. Utilizing only binary values, LIM particularly excels in accelerating binary neural networks, shifting it in the focus of edge applications. Considering its potenti...
Felix Staudigl, Thorben Fetz, Rebecca Pelke, Dominik Sisejkovic, Jan Moritz Joseph, Leticia Bolzani Pöhls, Rainer Leupers
2023-02-15T13:38:57Z
http://arxiv.org/abs/2302.07655v1
# Fault Injection in Native Logic-in-Memory Computation on Neuromorphic Hardware ###### Abstract Logic-in-memory (LIM) describes the execution of logic gates within memristive crossbar structures, promising to improve performance and energy efficiency. Utilizing only binary values, LIM particularly excels in accelera...
2308.12565
AMUSE-antlia I: Nuclear X-ray properties of early-type galaxies in a dynamically young galaxy cluster
To understand the formation and growth of supermassive black holes (SMBHs) and their co-evolution with host galaxies, it is essential to know the impact of environment on the activity of active galactic nuclei (AGN). We present new Chandra X-ray observations of nuclear emission from member galaxies in the Antlia cluste...
Zhensong Hu, Yuanyuan Su, Zhiyuan Li, Kelley M. Hess, Ralph P. Kraft, William R. Forman, Paul E. J. Nulsen, Sarrvesh S. Sridhar, Andra Stroe, Junhyun Baek, Aeree Chung, Dirk Grupe, Hao Chen, Jimmy A. Irwin, Christine Jones, Scott W. Randall, Elke Roediger
2023-08-24T05:12:33Z
http://arxiv.org/abs/2308.12565v1
AMUSE-Antlia I: Nuclear X-ray Properties of Early-Type Galaxies in a Dynamically Young Galaxy Cluster ###### Abstract To understand the formation and growth of supermassive black holes (SMBHs) and their co-evolution with host galaxies, it is essential to know the impact of environment on the activity of active galact...
2301.11567
Threshold dynamics of a nonlocal dispersal SIS epidemic model with free boundaries
To study the influence of the moving front of the infected interval and the spatial movement of individuals on the spreading or vanishing of infectious disease, we consider a nonlocal SIS (susceptible-infected-susceptible) reaction-diffusion model with media coverage, hospital bed numbers and free boundaries. The princ...
Yachun Tong, Inkyung Ahn, Zhigui Lin
2023-01-27T07:20:02Z
http://arxiv.org/abs/2301.11567v2
# Threshold dynamics of a nonlocal dispersal SIS epidemic model with free boundaries + # Threshold dynamics of a nonlocal dispersal SIS epidemic model with free boundaries + Footnote †: The first author is supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX21-3188), the secon...
2305.03494
Pairs of Woven continuous frames in Hilbert spaces
In this present paper we introduce weaving Hilbert space frames in the continuous case, we give new approaches for manufacturing pairs of woven continuous frames and we obtain new properties in continuous weaving frame theory related to dual frames. Also, we provide some approaches for constructing weaving continuous f...
Hafida Massit, Mohamed Rossafi, Samir Kabbaj
2023-03-20T23:41:36Z
http://arxiv.org/abs/2305.03494v1
# Pairs of woven continuous frames in Hilbert spaces ###### Abstract. In this present paper we introduce weaving Hilbert space frames in the continuous case, we give new approaches for manufacturing pairs of woven continuous frames and we obtain new properties in continuous weaving frame theory related to dual frames...
2307.05844
Self-consistent interaction of linear gravitational and electromagnetic waves in non-magnetized plasma
This paper explores the hybridization of linear metric perturbations with linear electromagnetic (EM) perturbations in non-magnetized plasma for a general background metric. The local wave properties are derived from first principles for inhomogeneous plasma, without assuming any symmetries of the background metric. Fi...
Deepen Garg, I. Y. Dodin
2023-07-11T23:35:21Z
http://arxiv.org/abs/2307.05844v2
Self-consistent interaction of linear gravitational and electromagnetic waves in non-magnetized plasma ###### Abstract This paper explores the hybridization of linear gravitational waves with linear electromagnetic (EM) waves in non-magnetized plasma. The local wave properties are derived from first principles for in...
2307.14791
Automatic Parallelization of Software Network Functions
Software network functions (NFs) trade-off flexibility and ease of deployment for an increased challenge of performance. The traditional way to increase NF performance is by distributing traffic to multiple CPU cores, but this poses a significant challenge: how to parallelize an NF without breaking its semantics? We pr...
Francisco Pereira, Fernando M. V. Ramos, Luis Pedrosa
2023-07-27T11:42:55Z
http://arxiv.org/abs/2307.14791v2
# Automatic Parallelization of Software Network Functions ###### Abstract Software network functions (NFs) trade-off flexibility and ease of deployment for an increased challenge of performance. The traditional way to increase NF performance is by distributing traffic to multiple CPU cores, but this poses a significa...
2303.08897
Extragalactic Jets from Radio to Gamma-rays
Despite the fact that jets from black holes were first understood to exist over 40 years ago, we are still in ignorance about many primary aspects of these systems -- including the radiation mechanism at high energies, the particle makeup of the jets, and how particles are accelerated, possibly to energies as high as 1...
Eileen T. Meyer, Aamil Shaik, Karthik Reddy, Markos Georganopoulos
2023-03-15T19:33:50Z
http://arxiv.org/abs/2303.08897v1
# Extragalactic Jets from Radio to Gamma-rays ###### Abstract Despite the fact that jets from black holes were first understood to exist over 40 years ago, we are still in ignorance about many primary aspects of these systems - including the radiation mechanism at high energies, the particle makeup of the jets, and h...
2308.03468
The mass density contrast in perturbed Friedman-Lemaitre-Robertson-Walker cosmologies
We analyze the evolution of the mass density contrast in spherical perturbations of flat Friedman-Lemaitre-Robertson-Walker cosmologies. Both dark matter and dark energy are included. In the absence of dark energy the evolution equation coincides with that obtained by Bonnor within the ``Newtonian cosmology''.
Edward Malec
2023-08-07T10:50:16Z
http://arxiv.org/abs/2308.03468v1
# The mass density contrast in perturbed Friedman-Lemaitre-Robertson-Walker cosmologies ###### Abstract We analyze the evolution of the mass density contrast in spherical perturbations of flat Friedmann-Lemaitre-Robertson-Walker cosmologies. Both dark matter and dark energy are included. In the absence of dark energy...
2310.16549
Valley Polarization-Electric Dipole Interference and Nonlinear Chiral Selection Rules in Monolayer WSe$_2$
In monolayer transition metal dichalcogenides time-reversal symmetry, combined with space-inversion symmetry, defines the spin-valley degree of freedom. As such, engineering and control of time-reversal symmetry by optical or magnetic fields constitutes the foundation of valleytronics. Here, we propose a new approach f...
Paul Herrmann, Sebastian Klimmer, Till Weickhardt, Anastasios Papavasileiou, Kseniia Mosina, Zdeněk Sofer, Ioannis Paradisanos, Daniil Kartashov, Giancarlo Soavi
2023-10-25T11:03:18Z
http://arxiv.org/abs/2310.16549v1
# Title ###### Abstract We present a new method for the calculation of the radiative and ###### Abstract In monolayer transition metal dichalcogenides time-reversal symmetry, combined with space-inversion symmetry, defines the spin-valley degree of freedom. As such, engineering and control of time-reversal symmetry ...
2302.01224
Propositional Logics for the Lawvere Quantale
Lawvere showed that generalised metric spaces are categories enriched over $[0, \infty]$, the quantale of the positive extended reals. The statement of enrichment is a quantitative analogue of being a preorder. Towards seeking a logic for quantitative metric reasoning, we investigate three $[0,\infty]$-valued propositi...
Giorgio Bacci, Radu Mardare, Prakash Panangaden, Gordon Plotkin
2023-02-02T17:04:28Z
http://arxiv.org/abs/2302.01224v4
# Propositional Logics for the Lawvere Quantale ###### Abstract Lawvere showed that generalised metric spaces are categories enriched over \([0,\infty]\), the quantale of the positive extended reals. The statement of enrichment is a quantitative analogue of being a preorder. Towards seeking a logic for quantitative m...
2308.14114
Hybrid Transformer-RNN Architecture for Household Occupancy Detection Using Low-Resolution Smart Meter Data
Residential occupancy detection has become an enabling technology in today's urbanized world for various smart home applications, such as building automation, energy management, and improved security and comfort. Digitalization of the energy system provides smart meter data that can be used for occupancy detection in a...
Xinyu Liang, Hao Wang
2023-08-27T14:13:29Z
http://arxiv.org/abs/2308.14114v1
Hybrid Transformer-RNN Architecture for Household Occupancy Detection Using Low-Resolution Smart Meter Data ###### Abstract Residential occupancy detection has become an enabling technology in today's urbanized world for various smart home applications, such as building automation, energy management, and improved sec...
2305.14856
Optimization-Based Improvement of Face Image Quality Assessment Techniques
Contemporary face recognition (FR) models achieve near-ideal recognition performance in constrained settings, yet do not fully translate the performance to unconstrained (realworld) scenarios. To help improve the performance and stability of FR systems in such unconstrained settings, face image quality assessment (FIQA...
Žiga Babnik, Naser Damer, Vitomir Štruc
2023-05-24T08:06:12Z
http://arxiv.org/abs/2305.14856v1
# Optimization-Based Improvement of Face Image Quality Assessment Techniques ###### Abstract Contemporary face recognition (FR) models achieve near-ideal recognition performance in constrained settings, yet do not fully translate the performance to unconstrained (real-world) scenarios. To help improve the performance...
2307.13798
Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations
An accurate and timely estimate of the reproduction ratio R of an infectious disease epidemic is crucial to make projections on its evolution and set up the appropriate public health response. Estimates of R routinely come from statistical inference on timelines of cases or their proxies like symptomatic cases, hospita...
Piero Birello, Michele Re Fiorentin, Boxuan Wang, Vittoria Colizza, Eugenio Valdano
2023-07-25T20:05:01Z
http://arxiv.org/abs/2307.13798v1
# Estimates of the reproduction ratio from epidemic surveillance may be biased ###### Abstract An accurate and timely estimate of the reproduction ratio \(R\) of an infectious disease epidemic is crucial to make projections on its evolution and set up the appropriate public health response. Estimates of \(R\) routine...
2303.16317
Operator learning with PCA-Net: upper and lower complexity bounds
PCA-Net is a recently proposed neural operator architecture which combines principal component analysis (PCA) with neural networks to approximate operators between infinite-dimensional function spaces. The present work develops approximation theory for this approach, improving and significantly extending previous work ...
Samuel Lanthaler
2023-03-28T21:27:36Z
http://arxiv.org/abs/2303.16317v5
# Operator learning with PCA-Net: ###### Abstract PCA-Net is a recently proposed neural operator architecture which combines principal component analysis (PCA) with neural networks to approximate operators between infinite-dimensional function spaces. The present work develops approximation theory for this approach, ...
2301.07463
Temporal Perceiving Video-Language Pre-training
Video-Language Pre-training models have recently significantly improved various multi-modal downstream tasks. Previous dominant works mainly adopt contrastive learning to achieve global feature alignment across modalities. However, the local associations between videos and texts are not modeled, restricting the pre-tra...
Fan Ma, Xiaojie Jin, Heng Wang, Jingjia Huang, Linchao Zhu, Jiashi Feng, Yi Yang
2023-01-18T12:15:47Z
http://arxiv.org/abs/2301.07463v1
# Temporal Perceiving Video-Language Pre-training ###### Abstract Video-Language Pre-training models have recently significantly improved various multi-modal downstream tasks. Previous dominant works mainly adopt contrastive learning to achieve _global_ feature alignment across modalities. However, the local associat...
2301.08750
Domain-agnostic and Multi-level Evaluation of Generative Models
While the capabilities of generative models heavily improved in different domains (images, text, graphs, molecules, etc.), their evaluation metrics largely remain based on simplified quantities or manual inspection with limited practicality. To this end, we propose a framework for Multi-level Performance Evaluation of ...
Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam
2023-01-20T14:32:19Z
http://arxiv.org/abs/2301.08750v1
# Domain-agnostic and Multi-level Evaluation of Generative Models ###### Abstract While the capabilities of generative models heavily improved in different domains (images, text, graphs, molecules, etc.), their evaluation metrics largely remain based on simplified quantities or manual inspection with limited practica...
2302.11751
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market
The emerging availability of trained machine learning models has put forward the novel concept of Machine Learning Model Market in which one can harness the collective intelligence of multiple well-trained models to improve the performance of the resultant model through one-shot federated learning and ensemble learning...
Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng
2023-02-23T02:36:27Z
http://arxiv.org/abs/2302.11751v1
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market ###### Abstract The emerging availability of trained machine learning models has put forward the novel concept of _Machine Learning Model Market_ in which one can harness the collective intelligence of multip...
2308.12203
A Robust ADMM-Based Optimization Algorithm For Underwater Acoustic Channel Estimation
Accurate estimation of the Underwater acoustic (UWA) is a key part of underwater communications, especially for coherent systems. The severe multipath effects and large delay spreads make the estimation problem large-scale. The non-stationary, non-Gaussian, and impulsive nature of ocean ambient noise poses further obst...
Tian Tian, Agastya Raj, Bruno Missi Xavier, Ying Zhang, Feiyun Wu, Kunde Yang
2023-08-23T15:39:44Z
http://arxiv.org/abs/2308.12203v2
# A Robust ADMM-Based Optimization Algorithm For Underwater Acoustic Channel Estimation ###### Abstract Accurate estimation of the Underwater acoustic (UWA) is a key part of underwater communications, especially for coherent systems. The severe multipath effects and large delay spreads make the estimation problem lar...
2302.08200
Weak Similarity in Higher-Order Mathematical Operational Semantics
Higher-order abstract GSOS is a recent extension of Turi and Plotkin's framework of Mathematical Operational Semantics to higher-order languages. The fundamental well-behavedness property of all specifications within the framework is that coalgebraic strong (bi)similarity on their operational model is a congruence. In ...
Henning Urbat, Stelios Tsampas, Sergey Goncharov, Stefan Milius, Lutz Schröder
2023-02-16T10:31:45Z
http://arxiv.org/abs/2302.08200v4
# Weak Similarity in Higher-Order Mathematical Operational Semantics ###### Abstract Higher-order abstract GSOS is a recent extension of Turi and Plotkin's framework of Mathematical Operational Semantics to higher-order languages. The fundamental well-behavedness property of all specifications within the framework is...
2302.11989
Metric-oriented Speech Enhancement using Diffusion Probabilistic Model
Deep neural network based speech enhancement technique focuses on learning a noisy-to-clean transformation supervised by paired training data. However, the task-specific evaluation metric (e.g., PESQ) is usually non-differentiable and can not be directly constructed in the training criteria. This mismatch between the t...
Chen Chen, Yuchen Hu, Weiwei Weng, Eng Siong Chng
2023-02-23T13:12:35Z
http://arxiv.org/abs/2302.11989v1
# Metric-Oriented Speech Enhancement Using Diffusion ###### Abstract Deep neural network based speech enhancement technique focuses on learning a noisy-to-clean transformation supervised by paired training data. However, the task-specific evaluation metric (e.g., PESQ) is usually non-differentiable and can not be dir...
2309.02339
LDP polygons and the number 12 revisited
We give a combinatorial proof of a lattice point identity involving a lattice polygon and its dual, generalizing the formula $area(\Delta) + area(\Delta^*) = 6$ for reflexive $\Delta$. The identity is equivalent to the stringy Libgober-Wood identity for toric log del Pezzo surfaces.
Ulrike Bücking, Christian Haase, Karin Schaller, Jan-Hendrik de Wiljes
2023-09-05T15:57:07Z
http://arxiv.org/abs/2309.02339v1
# LDP polygons and the number 12 revisited ###### Abstract. We give a combinatorial proof of a lattice point identity involving a lattice polygon and its dual, generalizing the formula \(\operatorname{area}\left(\Delta\right)+\operatorname{area}\left(\Delta^{*} \right)=6\) for reflexive \(\Delta\). The identity is eq...
2303.14500
Formalization of Quantum Intermediate Representations for Code Safety
Quantum Intermediate Representation (QIR) is a Microsoft-developed, LLVM-based intermediate representation for quantum program compilers. QIR aims to provide a general solution for quantum program compilers independent of front-end languages and back-end hardware, thus avoiding duplicate development of intermediate rep...
Junjie Luo, Jianjun Zhao
2023-03-25T15:40:18Z
http://arxiv.org/abs/2303.14500v1
# Formalization of Quantum Intermediate Representations ###### Abstract Quantum Intermediate Representation (QIR) is a Microsoft-developed, LLVM-based intermediate representation for quantum program compilers. QIR aims to provide a general solution for quantum program compilers independent of front-end languages and ...
2308.16065
Asymptotics of Some Plancherel Averages via Polynomiality Results
Consider Young diagrams of $n$ boxes distributed according to the Plancherel measure. So those diagrams could be the output of the RSK algorithm, when applied to random permutations of the set $\{1,\ldots,n\}$. Here we are interested in asymptotics, as $n\to \infty$, of expectations of certain functions of random Young...
Werner Schachinger
2023-08-30T14:40:49Z
http://arxiv.org/abs/2308.16065v1
# Asymptotics of some Plancherel averages via polynomiality results ###### Abstract. Consider Young diagrams of \(n\) boxes distributed according to the Plancherel measure. So those diagrams could be the output of the RSK algorithm, when applied to random permutations of the set \(\{1,\ldots,n\}\). Here we are intere...
2303.04713
On the space-time analyticity of the inhomogeneous heat equation on the half space with Neumann boundary conditions
We consider the inhomogeneous heat equation on the half-space $\mathbb R_{+}^{d}$ with Neumann boundary conditions. We prove a space-time Gevrey regularity of the solution, with a radius of analyticity uniform up to the boundary of the half-space. We also address the case of homogeneous Robin boundary conditions. Our r...
Elie Abdo, Weinan Wang
2023-03-08T16:52:49Z
http://arxiv.org/abs/2303.04713v1
On the space-time analyticity of the inhomogeneous heat equation on the half space with Neumann boundary conditions ###### Abstract. We consider the inhomogeneous heat equation on the half-space \(\mathbb{R}^{d}_{*}\) with Neumann boundary conditions. We prove a space-time Gevrey regularity of the solution, with a ra...
2307.07935
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality
Due to the lack of enough real multi-agent data and time-consuming of labeling, existing multi-agent cooperative perception algorithms usually select the simulated sensor data for training and validating. However, the perception performance is degraded when these simulation-trained models are deployed to the real world...
Jinlong Li, Runsheng Xu, Xinyu Liu, Baolu Li, Qin Zou, Jiaqi Ma, Hongkai Yu
2023-07-16T03:54:10Z
http://arxiv.org/abs/2307.07935v4
# S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality ###### Abstract Due to the lack of enough real multi-agent data and time-consuming of labeling, existing multi-agent cooperative perception algorithms usually select the simulated sensor data for training and validating. How...
2310.05535
Commissioning and first measurements of the initial X-ray and γ-ray detectors at FACET-II
The upgraded Facility for Advanced Accelerator Experimental Tests (FACET-II) at SLAC National Accelerator Laboratory has been designed to deliver ultra-relativistic electron and positron beams with unprecedented parameters, especially in terms of high peak current and low emittance. For most of the foreseen experimenta...
P. San Miguel Claveria, D. Storey, G. J. Cao, A. Di Piazza, H. Ekerfelt, S. Gessner, E. Gerstmayr, T. Grismayer, M. Hogan, C. Joshi, C. H. Keitel, A. Knetsch, M. Litos, A. Matheron, K. Marsh, S. Meuren, B. O'Shea, D. A. Reis, M. Tamburini, M. Vranic, J. Wang, V. Zakharova, C. Zhang, S. Corde
2023-10-09T08:57:19Z
http://arxiv.org/abs/2310.05535v1
# Commissioning and first measurements of the initial X-ray and \(\gamma\)-ray detectors at FACET-II ###### Abstract The upgraded Facility for Advanced Accelerator Experimental Tests (FACET-II) at SLAC National Accelerator Laboratory has been designed to deliver ultra-relativistic electron and positron beams with unp...
2302.12258
Data leakage in cross-modal retrieval training: A case study
The recent progress in text-based audio retrieval was largely propelled by the release of suitable datasets. Since the manual creation of such datasets is a laborious task, obtaining data from online resources can be a cheap solution to create large-scale datasets. We study the recently proposed SoundDesc benchmark dat...
Benno Weck, Xavier Serra
2023-02-23T09:51:03Z
http://arxiv.org/abs/2302.12258v1
# Data Leakage in Cross-Modal Retrieval Training: a Case Study ###### Abstract The recent progress in text-based audio retrieval was largely propelled by the release of suitable datasets. Since the manual creation of such datasets is a laborious task, obtaining data from online resources can be a cheap solution to cr...
2305.16099
FAVANO: Federated AVeraging with Asynchronous NOdes
In this paper, we propose a novel centralized Asynchronous Federated Learning (FL) framework, FAVANO, for training Deep Neural Networks (DNNs) in resource-constrained environments. Despite its popularity, ``classical'' federated learning faces the increasingly difficult task of scaling synchronous communication over la...
Louis Leconte, Van Minh Nguyen, Eric Moulines
2023-05-25T14:30:17Z
http://arxiv.org/abs/2305.16099v2
# Favas: Federated Averaging with Asynchronous ###### Abstract In this paper, we propose a novel centralized Asynchronous Federated Learning (FL) framework, Favas for training Deep Neural Networks (DNNs) in resource-constrained environments. Despite its popularity, "classical" federated learning faces the increasing...
2306.06902
Transformer-based GAN for Terahertz Spatial-Temporal Channel Modeling and Generating
Terahertz (THz) communications are envisioned as a promising technology for 6G and beyond wireless systems, providing ultra-broad continuous bandwidth and thus Terabit-per-second (Tbps) data rates. However, as foundation of designing THz communications, channel modeling and characterization are fundamental to scrutiniz...
Zhengdong Hu, Yuanbo Li, Chong Han
2023-06-12T07:12:53Z
http://arxiv.org/abs/2306.06902v1
# Transformer-based GAN for Terahertz ###### Abstract Terahertz (THz) communications are envisioned as a promising technology for 6G and beyond wireless systems, providing ultra-broad continuous bandwidth and thus Terahertz-second (Tbps) data rates. However, as foundation of designing THz communications, channel mode...
2305.00823
Numerical Approximation of Stochastic Volterra Integral Equation Using Walsh Function
This paper provides a numerical approach for solving the linear stochastic Volterra integral equation using Walsh function approximation and the corresponding operational matrix of integration. A convergence analysis and error analysis of the proposed method for stochastic Volterra integral equations with Lipschitz fun...
Prit Pritam Paikaray, Sanghamitra Beuria, Nigam Chandra Parida
2023-05-01T13:43:34Z
http://arxiv.org/abs/2305.00823v1
# Numerical Approximation of Stochastic Volterra Integral Equation Using Walsh Function ###### Abstract This paper provides a numerical approach for solving the linear stochastic Volterra integral equation using Walsh function approximation and the corresponding operational matrix of integration. A convergence analys...
2301.03605
Field-Theoretic Analysis of Hadronization Using Soft Drop Jet Mass
One of the greatest challenges in quantum chromodynamics is understanding the hadronization mechanism, which is also crucial for carrying out precision physics with jet substructure. In this Letter, we combine recent advancements in our understanding of the field theory-based nonperturbative structure of the soft drop ...
Anna Ferdinand, Kyle Lee, Aditya Pathak
2023-01-09T19:00:01Z
http://arxiv.org/abs/2301.03605v1
# Field-Theoretic Analysis of Hadronization Using Soft Drop Jet Mass ###### Abstract One of the greatest challenges in quantum chromodynamics is understanding the hadronization mechanism, which is also crucial for carrying out precision physics with jet substructure. In this _Letter_, we combine recent advancements i...
2310.15726
Uniqueness of conservative solutions to the the modified Camassa-Holm equation via Characteristics
In this paper,for a given conservative solution, we introduce a set of auxiliary variables tailored to this particular solution, and prove that these variables satisfy a particular semilinear system having unique solutions. In turn, we get the uniqueness of the conservative solution in the original variables.
Zhen He, Zhaoyang Yin
2023-10-24T11:01:42Z
http://arxiv.org/abs/2310.15726v1
# Uniqueness of conservative solutions to the the modified Camassa-Holm equation via Characteristics ###### Abstract In this paper,for a given conservative solution, we introduce a set of auxiliary variables tailored to this particular solution, and prove that these variables satisfy a particular semilinear system ha...
2303.02362
Four dimensional hypersurfaces with proper mean curvature vector field in pseudo-Riemannian space forms
In this paper, we study four dimensional hypersurface M^4_r with proper mean curvature vector field (i.e. \Delta\vec{H} is proportional to \vec{H}) in pseudo-Riemannian space form N^5_s(c), and show that it has constant mean curvature, and give the range of this constant. As an application, we get that biharmonic hyper...
Chao Yang, Jiancheng Liu, Li Du
2023-03-04T09:15:51Z
http://arxiv.org/abs/2303.02362v1
Four dimensional hypersurfaces with proper mean curvature vector field in pseudo-Riemannian space forms ###### Abstract In this paper, we study four dimensional hypersurface \(M_{r}^{4}\) with proper mean curvature vector field (i.e. \(\Delta\vec{H}\) is proportional to \(\vec{H}\)) in pseudo-Riemannian space form \(...
2301.00324
Planar equilibrium measure problem in the quadratic fields with a point charge
We consider a two-dimensional equilibrium measure problem under the presence of quadratic potentials with a point charge and derive the explicit shape of the associated droplets. This particularly shows that the topology of the droplets reveals a phase transition: (i) in the post-critical case, the droplets are doubly ...
Sung-Soo Byun
2023-01-01T01:54:12Z
http://arxiv.org/abs/2301.00324v1
# Planar equilibrium measure problem ###### Abstract. We consider a two-dimensional equilibrium measure problem under the presence of quadratic potentials with a point charge and derive the explicit shape of the associated droplets. This particularly shows that the topology of the droplets reveals a phase transition:...
2310.19134
CoBarS: Fast reweighted sampling for polygon spaces in any dimension
We present the first algorithm for sampling random configurations of closed $n$-gons with any fixed edgelengths $r_1, \dots, r_n$ in any dimension $d$ which is proved to sample correctly from standard probability measures on these spaces. We generate open $n$-gons as weighted sets of edge vectors on the unit sphere and...
Jason Cantarella, Henrik Schumacher
2023-10-29T19:48:06Z
http://arxiv.org/abs/2310.19134v1
# CoBarS: Fast reweighted sampling ###### Abstract We present the first algorithm for sampling random configurations of closed \(n\)-gons with any fixed edgelengths \(r_{1},\ldots,r_{n}\) in any dimension \(d\) which is proved to sample correctly from standard probability measures on these spaces. We generate open \(...
2303.10996
An analysis of $\mathbb{P}$-invariance and dynamical compensation properties from a control perspective
Dynamical compensation (DC) provides robustness to parameter fluctuations. As an example, DC enable control of the functional mass of endocrine or neuronal tissue essential for controlling blood glucose by insulin through a nonlinear feedback loop. Researchers have shown that DC is related to structural unidentifiabili...
Akram Ashyani, Yu-Heng Wu, Huan-Wei Hsu, Torbjörn E. M. Nordling
2023-03-20T10:23:43Z
http://arxiv.org/abs/2303.10996v2
An analysis of \(\mathbb{P}\)-invariance and dynamical compensation properties from a control perspective ###### Abstract Dynamical compensation (DC) provides robustness to parameter fluctuations. As an example, DC enable control of the functional mass of endocrine or neuronal tissue essential for controlling blood g...
2308.04449
The Disparate Impacts of College Admissions Policies on Asian American Applicants
There is debate over whether Asian American students are admitted to selective colleges and universities at lower rates than white students with similar academic qualifications. However, there have been few empirical investigations of this issue, in large part due to a dearth of data. Here we present the results from a...
Joshua Grossman, Sabina Tomkins, Lindsay Page, Sharad Goel
2023-08-03T22:41:54Z
http://arxiv.org/abs/2308.04449v1
# The Disparate Impacts of College Admissions Policies on Asian American Applicants ###### Abstract There is debate over whether Asian American students are admitted to selective colleges and universities at lower rates than white students with similar academic qualifications. However, there have been few empirical i...
2301.08778
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
Split Learning (SL) is a new collaborative learning technique that allows participants, e.g. a client and a server, to train machine learning models without the client sharing raw data. In this setting, the client initially applies its part of the machine learning model on the raw data to generate activation maps and t...
Tanveer Khan, Khoa Nguyen, Antonis Michalas
2023-01-20T19:26:51Z
http://arxiv.org/abs/2301.08778v1
# Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning ###### Abstract Split Learning (SL) is a new collaborative learning technique that allows participants, e.g. a client and a server, to train machine learning models without the client sharing raw data. In this setting, the client initial...
2310.11568
The mechanical radius of the proton
We present the first determination of the proton mechanical radius. The result was obtained by employing a novel theoretical approach that connects experimental data of deeply virtual Compton scattering with the spin = 2 interaction that is characteristic of gravity coupling with matter. We find that the proton mechani...
V. D. Burkert, L. Elouadrhiri, F. X. Girod
2023-10-17T20:30:12Z
http://arxiv.org/abs/2310.11568v2
# The mechanical radius of the proton ###### Abstract We present the first determination of the proton's mechanical radius. The result was obtained by employing a novel theoretical approach, which connects experimental data of deeply virtual Compton scattering with the spin \(J=2\) interaction that is characteristic ...
2308.13135
Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery
We propose a nonparametric additive model for estimating interpretable value functions in reinforcement learning. Learning effective adaptive clinical interventions that rely on digital phenotyping features is a major for concern medical practitioners. With respect to spine surgery, different post-operative recovery re...
Patrick Emedom-Nnamdi, Timothy R. Smith, Jukka-Pekka Onnela, Junwei Lu
2023-08-25T02:05:51Z
http://arxiv.org/abs/2308.13135v1
# Nonparametric Additive Value Functions: ###### Abstract We propose a nonparametric additive model for estimating interpretable value functions in reinforcement learning. Learning effective adaptive clinical interventions that rely on digital phenotyping features is a major for concern medical practitioners. With re...
2306.02594
Measuring the X-ray luminosities of DESI groups from eROSITA Final Equatorial-Depth Survey: I. X-ray luminosity -- halo mass scaling relation
We use the eROSITA Final Equatorial-Depth Survey (eFEDS) to measure the rest-frame 0.1-2.4 keV band X-ray luminosities of $\sim$ 600,000 DESI groups using two different algorithms in the overlap region of the two observations. These groups span a large redshift range of $0.0 \le z_g \le 1.0$ and group mass range of $10...
Yunliang Zheng, Xiaohu Yang, Min He, Shi-Yin Shen, Qingyang Li, Xuejie Li
2023-06-05T04:54:45Z
http://arxiv.org/abs/2306.02594v2
Measuring the X-ray luminosities of DESI groups from eROSITA Final Equatorial-Depth Survey: I. X-ray luminosity - halo mass scaling relation ###### Abstract We use the eROSITA Final Equatorial-Depth Survey (eFEDS) to measure the rest-frame 0.1-2.4 keV band X-ray luminosities of \(\sim\) 600,000 DESI groups using two ...
2308.14882
R-Matrix calculations for opacities: I. Methodology and computations
An extended version of the R-matrix methodology is presented for calculation of radiative parameters for improved plasma opacities. Contrast and comparisons with existing methods primarily relying on the Distorted Wave (DW) approximation are discussed to verify accuracy and resolve outstanding issues, particularly with...
A. K. Pradhan, S. N. Nahar, W. Eissner
2023-08-28T20:10:42Z
http://arxiv.org/abs/2308.14882v1
# R-Matrix calculations for opacities: I. Methodology and computations ###### Abstract An extended version of the R-matrix methodology is presented for calculation of radiative parameters for improved plasma opacities. Contrast and comparisons with existing methods primarily relying on the Distorted Wave (DW) approxi...
2301.09466
Rationally connected threefolds with nef and bad anticanonical divisor, II
Let $X$ be a smooth complex projective rationally connected threefold with $-K_X$ nef and not semi-ample. In our previous work, we classified all such threefolds when $|{-}K_X|$ has no fixed divisor. In this paper, we continue our classification when $|{-}K_X|$ has a non-zero fixed divisor.
Zhixin Xie
2023-01-23T14:54:56Z
http://arxiv.org/abs/2301.09466v1
# **Rationally connected threefolds with nef and bad anticanonical divisor, II** ###### Abstract Let \(X\) be a smooth complex projective rationally connected threefold with \(-K_{X}\) nef and not semi-ample. In our previous work, we classified all such threefolds when \(|-K_{X}|\) has no fixed divisor. In this paper...
2308.05757
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework
Compressed data aggregation (CDA) over wireless sensor networks (WSNs) is task-specific and subject to environmental changes. However, the existing compressed data aggregation (CDA) frameworks (e.g., compressed sensing-based data aggregation, deep learning(DL)-based data aggregation) do not possess the flexibility and ...
Cheng-Wei Ching, Chirag Gupta, Zi Huang, Liting Hu
2023-08-05T04:19:35Z
http://arxiv.org/abs/2308.05757v1
# OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework ###### Abstract Compressed data aggregation (CDA) over wireless sensor networks (WSNs) is task-specific and subject to environmental changes. However, the existing compressed data aggregation (CDA) frameworks (e.g., compressed sensing-based ...
2303.08101
Impact of Covid-19 Pandemic on Water Pollution in Indian Rivers -- A Case Study
Some of the important critical parameters for assessing the water quality like pH (Hydrogen ion concentration), DO (Dissolved Oxygen), BOD (Biological Oxygen Demand), etc., were monitored at different locations in some major Indian rivers. The results obtained from the study reveals that the critical parameters had inc...
Amardeepak Mahadikar, Krishna Anand, Chandra S. Reddy
2023-01-17T06:53:16Z
http://arxiv.org/abs/2303.08101v1
# Impact of Covid-19 Pandemic on Water Pollution in Indian Rivers-A Case Study ###### Abstract Some of the important critical parameters for assessing the water quality like pH (Hydrogen ion concentration), DO (Dissolved Oxygen), BOD (Biological Oxygen Demand), etc., were monitored at different locations in some majo...
2301.06755
Extracting continuous sleep depth from EEG data without machine learning
The human sleep-cycle has been divided into discrete sleep stages that can be recognized in electroencephalographic (EEG) and other bio-signals by trained specialists or machine learning systems. It is however unclear whether these human-defined stages can be re-discovered with unsupervised methods of data analysis, us...
Claus Metzner, Achim Schilling, Maximilian Traxdorf, Holger Schulze, Konstantin Tziridis, Patrick Krauss
2023-01-17T08:39:34Z
http://arxiv.org/abs/2301.06755v1
# Extracting continuous sleep depth from EEG data ###### Abstract The human sleep-cycle has been divided into discrete sleep stages that can be recognized in electroencephalographic (EEG) and other bio-signals by trained specialists or machine learning systems. It is however unclear whether these human-defined stages...
2307.13968
Rotating traversable wormhole geometries in the presence of three-form fields
In this work, we study the rotating wormhole geometries supported by a three-form field. We demonstrate for particular choices of parameters that it is possible for the matter fields threading the wormhole to satisfy the null and weak energy conditions throughout the spacetime, when the three-form field is present. In ...
Takol Tangphati, Butsayapat Chaihao, Daris Samart, Phongpichit Channuie, Davood Momeni
2023-07-26T05:58:45Z
http://arxiv.org/abs/2307.13968v1
# Rotating traversable wormhole geometries in the presence of three-form fields ###### Abstract In this work, we study the rotating wormhole geometries supported by a three-form field. We demonstrate for particular choices of parameters that it is possible for the matter fields threading the wormhole to satisfy the n...
2310.10676
Application-layer Characterization and Traffic Analysis for Encrypted QUIC Transport Protocol
Quick UDP Internet Connection (QUIC) is an emerging end-to-end encrypted, transport-layer protocol, which has been increasingly adopted by popular web services to improve communication security and quality of experience (QoE) towards end-users. However, this tendency makes the traffic analysis more challenging, given t...
Qianqian Zhang, Chi-Jiun Su
2023-10-10T20:09:46Z
http://arxiv.org/abs/2310.10676v1
# Application-layer Characterization and Traffic Analysis for Encrypted QUIC Transport Protocol ###### Abstract Quick UDP Internet Connection (QUIC) is an emerging end-to-end encrypted, transport-layer protocol, which has been increasingly adopted by popular web services to improve communication security and quality ...
2302.00674
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
Few-shot learning is valuable in many real-world applications, but learning a generalizable model without overfitting to the few labeled datapoints is challenging. In this work, we focus on Few-shot Learning with Auxiliary Data (FLAD), a training paradigm that assumes access to auxiliary data during few-shot learning i...
Alon Albalak, Colin Raffel, William Yang Wang
2023-02-01T18:59:36Z
http://arxiv.org/abs/2302.00674v4
# Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data ###### Abstract Few-shot learning is valuable in many real-world applications, but learning a generalizable model without overfitting to the few labeled datapoints is challenging. In this work, we focus on **F**ew-shot **L**earning with **...
2309.01618
Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
Online Mental Health Communities (OMHCs), such as Reddit, have witnessed a surge in popularity as go-to platforms for seeking information and support in managing mental health needs. Platforms like Reddit offer immediate interactions with peers, granting users a vital space for seeking mental health assistance. However...
Aseem Srivastava, Tanya Gupta, Alison Cerezo, Sarah Peregrine, Lord, Md Shad Akhtar, Tanmoy Chakraborty
2023-09-04T14:00:12Z
http://arxiv.org/abs/2309.01618v1
# Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities ###### Abstract Online Mental Health Communities (OMHCs), such as Reddit, have witnessed a surge in popularity as go-to platforms for seeking information and support in managing mental health needs. Platforms like Reddit offer imm...
2308.11722
Non-linear top-Higgs CP violation
Searches for additional sources of CP violation at the Large Hadron Collider are a central part of the Higgs physics programme beyond the Standard Model. Studies employing so-called signed observables that track CP violation through purpose-built asymmetries bolster efforts based on Higgs boson rate analyses under clea...
Akanksha Bhardwaj, Christoph Englert, Dorival Gonçalves, Alberto Navarro
2023-08-22T18:24:02Z
http://arxiv.org/abs/2308.11722v1
# Non-linear top-Higgs CP violation ###### Abstract Searches for additional sources of CP violation at the Large Hadron Collider are a central part of the Higgs physics programme beyond the Standard Model. Studies employing so-called signed observables that track CP violation through purpose-built asymmetries bolster...
2306.08907
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
The identification of compound-protein interactions (CPI) plays a critical role in drug screening, drug repurposing, and combination therapy studies. The effectiveness of CPI prediction relies heavily on the features extracted from both compounds and target proteins. While various prediction methods employ different fe...
Li Zhang, Wenhao Li, Haotian Guan, Zhiquan He, Mingjun Cheng, Han Wang
2023-06-15T07:20:26Z
http://arxiv.org/abs/2306.08907v1
# MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound-Protein Interactions ###### Abstract The identification of compound-protein interactions (CPI) plays a critical role in drug screening, drug repurposing, and combination therapy studies. The effectiveness of CPI prediction relies heavily on the f...
2310.04603
Phoretic swimming with bulk absorption
We consider phoretic self-propulsion of a chemically active colloid where solute is consumed at both the colloid boundary and within the bulk solution. Assuming first-order kinetics, the dimensionless transport problem is governed by the surface Damk\"ohler number ${\mathcal{S}}$ and the bulk Damk\"ohler number ${\math...
Rodolfo Brandão, David Saintillan, Ehud Yariv
2023-10-06T21:41:06Z
http://arxiv.org/abs/2310.04603v1
# Phoretic swimming with bulk absorption ###### Abstract We consider phoretic self-propulsion of a chemically active colloid where solute is consumed at both the colloid boundary and within the bulk solution. Assuming first-order kinetics, the dimensionless transport problem is governed by the surface Damkohler numbe...