Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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25,981 to 26,040 of 118,754

Variational Inference for Gaussian Process Modulated Poisson Processes
Chris Lloyd, Tom Gunter, Michael A. Osborne +1
stat.MLarXiv:1411.0254v32014
3D Hand Pose Detection in Egocentric RGB-D Images
Gregory Rogez, James S. Supancic III, Maryam Khademi +2
cs.CVarXiv:1412.0065v12014
Particle systems with a singular mean-field self-excitation. Application to neuronal networks
F. Delarue, J. Inglis, S. Rubenthaler +1
math.PRarXiv:1406.1151v32014
Correlation energy expressions from the adiabatic-connection fluctuation-dissipation theorem approach
János G. Angyán, Ru-Fen Liu, Julien Toulouse +1
physics.chem-phphysics.comp-pharXiv:1404.1663v12014
Neural CRF Parsing
Greg Durrett, Dan Klein
cs.CLcs.NEarXiv:1507.03641v12015
3D ShapeNets: A Deep Representation for Volumetric Shapes
Zhirong Wu, Shuran Song, Aditya Khosla +4
cs.CVarXiv:1406.5670v32014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song +1
cs.SIphysics.soc-phstat.MLarXiv:1405.2936v12014
Machine learning for discriminating quantum measurement trajectories and improving readout
Easwar Magesan, Jay M. Gambetta, A. D. Córcoles +1
quant-pharXiv:1411.4994v22014
Pregelix: Big(ger) Graph Analytics on A Dataflow Engine
Yingyi Bu, Vinayak Borkar, Jianfeng Jia +2
cs.DBarXiv:1407.0455v12014
Preserving Lagrangian structure in nonlinear model reduction with application to structural dynamics
Kevin Carlberg, Ray Tuminaro, Paul Boggs
cs.CEcs.NAmath.NAarXiv:1401.8044v12014
Inconsistency of Pitman-Yor process mixtures for the number of components
Jeffrey W. Miller, Matthew T. Harrison
math.STstat.MLstat.THarXiv:1309.0024v12013
Manipulation in Clutter with Whole-Arm Tactile Sensing
Advait Jain, Marc D. Killpack, Aaron Edsinger +1
cs.ROarXiv:1304.6146v12013
A Round-Robin Type Protocol for Distributed Estimation with $H_\infty$ Consensus
V. Ugrinovskii, E. Fridman
eess.SYcs.SYarXiv:1405.1879v12014
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification
Ali Soltani-Farani, Hamid R. Rabiee, Seyyed Abbas Hosseini
cs.CVcs.LGarXiv:1308.1187v12013
Network Controllability Is Determined by the Density of Low In-Degree and Out-Degree Nodes
Giulia Menichetti, Luca Dall'Asta, Ginestra Bianconi
cond-mat.stat-mechcond-mat.dis-nnphysics.soc-pharXiv:1405.4365v32014
Persistent Homology of Delay Embeddings
Saba Emrani, Thanos Gentimis, Hamid Krim
math.ATarXiv:1305.3879v32013
QMC designs: optimal order Quasi Monte Carlo Integration schemes on the sphere
Johann S. Brauchart, Edward B. Saff, Ian H. Sloan +1
math.NAcs.NAarXiv:1208.3267v12012
A self-learning algorithm for biased molecular dynamics
Gareth A. Tribello, Michele Ceriotti, Michele Parrinello
physics.comp-pharXiv:1009.1236v12010
Energy-Efficient Resource Allocation in Multiuser OFDM Systems with Wireless Information and Power Transfer
Derrick Wing Kwan Ng, Ernest S. Lo, Robert Schober
cs.ITmath.ITarXiv:1212.3638v22012
Efficient Transmit Beamspace Design for Search-free Based DOA Estimation in MIMO Radar
Arash Khabbazibasmenj, Aboulnasr Hassanien, Sergiy A. Vorobyov +1
cs.ITmath.ITarXiv:1305.4979v12013
Distribution's template estimate with Wasserstein metrics
Emmanuel Boissard, Thibaut Le Gouic, Jean-Michel Loubes
math.STstat.THarXiv:1111.5927v22011
A Universal Model of Commuting Networks
Maxime Lenormand, Sylvie Huet, Floriana Gargiulo +1
math.STcs.SIphysics.soc-pharXiv:1203.5184v22012
Generalization Bounds for Metric and Similarity Learning
Qiong Cao, Zheng-Chu Guo, Yiming Ying
cs.LGstat.MLarXiv:1207.5437v22012
Graph-Constrained Group Testing
Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer +1
cs.DMcs.ITmath.ITarXiv:1001.1445v22010
RecSoup: Efficient Model Merging Approach for Controllable Multi-Objective Recommendation
Zidong Jia, Guofu Xie, Xiao Zhang
cs.IRcs.AIarXiv:2610.21220v12026
Ultra accurate personalized recommendation via eliminating redundant correlations
Tao Zhou, Riqi Su, Runran Liu +3
physics.soc-phphysics.data-anarXiv:0805.4127v22008
QWalk: A Quantum Monte Carlo Program for Electronic Structure
Lucas K. Wagner, Michal Bajdich, Lubos Mitas
physics.comp-phphysics.atm-clusphysics.chem-pharXiv:0710.4361v12007
MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
Tianqi Liu, Guangcong Wang, Shoukang Hu +6
cs.CVarXiv:2405.12218v32024
RoleQ: Role-Aligned Scales for Converting Language Models to Ternary
Johannes Knittel, Alec Helbling, Hanspeter Pfister
cs.AIcs.CLarXiv:2610.21808v12026
CoSTA: Compressed Speech Token Adaptation for Efficient Spoken Dialogue Models
Yingzhuo Deng, Chong Li, Bingxin Liu +6
cs.CLcs.AIcs.SDarXiv:2610.21143v12026
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
Jaemin Shin, Yuanchun Li, Yunxin Liu +1
cs.LGarXiv:2201.01601v22022
$\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving
Nan Huang, Xiaobao Wei, Wenzhao Zheng +6
cs.CVcs.AIarXiv:2405.20323v12024
Learning the Irreducible Representations of Commutative Lie Groups
Taco Cohen, Max Welling
cs.LGarXiv:1402.4437v22014
Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation
Yang Wu, Yifan Zhang, Yurong Wu +3
cs.CLcs.LGarXiv:2506.17637v12025
GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning
Ziru Liu, Cheng Gong, Xinyu Fu +7
cs.LGcs.AIarXiv:2507.10628v22025
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
Zhicheng Yang, Yiwei Wang, Yinya Huang +7
cs.LGmath.OCarXiv:2407.09887v42024
Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling
Yitian Chen, Jingfan Xia, Siyu Shao +2
cs.AIarXiv:2505.11792v32025
Towards bio-inspired visual navigation: a neuromorphic navigation paradigm for MAVs
Junjie Jiang, Ankang Zhou, Zheng Fang
cs.ROarXiv:2610.21978v12026
My Credentials, Please: Detecting Filesystem Capability Laundering in MCP Servers at Scale
Zeqian Huang, Mingyue Tang, Aonan Guan +2
cs.CRarXiv:2610.22301v12026
Geometric Queries on Tessellation-Free Displaced Surfaces
Bing Xu, Yang Zhou, Brian Budge
cs.GRarXiv:2610.21584v12026
From Knothe's transport to Brenier's map and a continuation method for optimal transport
Guillaume Carlier, Alfred Galichon, Filippo Santambrogio
math.OCarXiv:0810.4153v12008
Strong NP-Hardness of Rank-2 Nonnegative Matrix Factorization
Arnaud Vandaele
math.OCcs.CCarXiv:2610.21874v12026
Smoothness of Shortest Isogenies to Frobenius Conjugates
Yi Ouyang, Wei Wei, Zheng Xu
math.NTcs.CRarXiv:2610.21488v12026
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
Vince Lyzinski, Daniel Sussman, Minh Tang +2
stat.MLarXiv:1310.0532v42013
A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit
Giuseppe Burtini, Jason Loeppky, Ramon Lawrence
stat.MLcs.LGarXiv:1510.00757v42015
Non-Adversarial Unsupervised Word Translation
Yedid Hoshen, Lior Wolf
cs.LGcs.CLarXiv:1801.06126v32018
Sustainable Concrete via Bayesian Optimization
Sebastian Ament, Andrew Witte, Nishant Garg +1
cs.LGphysics.soc-pharXiv:2310.18288v32023
Joint Entropy Search for Maximally-Informed Bayesian Optimization
Carl Hvarfner, Frank Hutter, Luigi Nardi
cs.LGstat.MLarXiv:2206.04771v52022
Optimization, fast and slow: optimally switching between local and Bayesian optimization
Mark McLeod, Michael A. Osborne, Stephen J. Roberts
stat.MLcs.LGarXiv:1805.08610v12018
Covariate Shift in High-Dimensional Random Feature Regression
Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington
stat.MLcs.LGarXiv:2111.08234v12021
ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space
Minkyu Kim, Baekseung Kim, Junhoo Lee +2
cs.CVcs.LGarXiv:2610.21433v12026
Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions
Ranjan Anantharaman, Kimberly Hall, Viral Shah +1
q-bio.QMarXiv:1906.03542v12019
Convergence Rates with Inexact Non-expansive Operators
Jingwei Liang, Jalal Fadili, Gabriel Peyré
math.OCarXiv:1404.4837v32014
Distributed Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Tao Yang +3
math.OCarXiv:1912.03719v12019
What Should Robot Policies Learn to Predict? Rethinking Supervision Targets in Vision-Language-Action Learning
Haitao Shen, Hanyu Liu, Yihan Lin +7
cs.ROarXiv:2610.21915v12026
Learning to Think and Explore in 3D World
Yijiang Li, Bingyang Wang, Nuno Vasconcelos
cs.CVarXiv:2610.21783v12026
NICE Toolbox: Nonverbal Interpersonal Communication Exploration Toolbox
Aleksandr Evgrashin, Carolin Schmitt, Timo Lübbing +8
cs.CVarXiv:2610.21786v12026
The Case for Bayesian Deep Learning
Andrew Gordon Wilson
cs.LGstat.MLarXiv:2001.10995v12020
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen, Jiaxin Qing, Juan Helen Zhou
cs.CVcs.CEarXiv:2305.11675v12023
Dual Attention-Based Federated Learning for Wireless Traffic Prediction
Chuanting Zhang, Shuping Dang, Basem Shihada +1
cs.DCarXiv:2110.05183v12021

Every paper with a summary

Variational Inference for Gaussian Process Modulated Poisson Processes

3D Hand Pose Detection in Egocentric RGB-D Images

Particle systems with a singular mean-field self-excitation. Application to neuronal networks

Correlation energy expressions from the adiabatic-connection fluctuation-dissipation theorem approach

Neural CRF Parsing

3D ShapeNets: A Deep Representation for Volumetric Shapes

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm

Machine learning for discriminating quantum measurement trajectories and improving readout

Pregelix: Big(ger) Graph Analytics on A Dataflow Engine

Preserving Lagrangian structure in nonlinear model reduction with application to structural dynamics

Inconsistency of Pitman-Yor process mixtures for the number of components

Manipulation in Clutter with Whole-Arm Tactile Sensing

A Round-Robin Type Protocol for Distributed Estimation with $H_\infty$ Consensus

Spatial-Aware Dictionary Learning for Hyperspectral Image Classification

Network Controllability Is Determined by the Density of Low In-Degree and Out-Degree Nodes

Persistent Homology of Delay Embeddings

QMC designs: optimal order Quasi Monte Carlo Integration schemes on the sphere

A self-learning algorithm for biased molecular dynamics

Energy-Efficient Resource Allocation in Multiuser OFDM Systems with Wireless Information and Power Transfer

Efficient Transmit Beamspace Design for Search-free Based DOA Estimation in MIMO Radar

Distribution's template estimate with Wasserstein metrics

A Universal Model of Commuting Networks

Generalization Bounds for Metric and Similarity Learning

Graph-Constrained Group Testing

RecSoup: Efficient Model Merging Approach for Controllable Multi-Objective Recommendation

Ultra accurate personalized recommendation via eliminating redundant correlations

QWalk: A Quantum Monte Carlo Program for Electronic Structure

MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo

RoleQ: Role-Aligned Scales for Converting Language Models to Ternary

CoSTA: Compressed Speech Token Adaptation for Efficient Spoken Dialogue Models

FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients

$\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving

Learning the Irreducible Representations of Commutative Lie Groups

Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning

OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling

Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling

Towards bio-inspired visual navigation: a neuromorphic navigation paradigm for MAVs

My Credentials, Please: Detecting Filesystem Capability Laundering in MCP Servers at Scale

Geometric Queries on Tessellation-Free Displaced Surfaces

From Knothe's transport to Brenier's map and a continuation method for optimal transport

Strong NP-Hardness of Rank-2 Nonnegative Matrix Factorization

Smoothness of Shortest Isogenies to Frobenius Conjugates

Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding

A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit

Non-Adversarial Unsupervised Word Translation

Sustainable Concrete via Bayesian Optimization

Joint Entropy Search for Maximally-Informed Bayesian Optimization

Optimization, fast and slow: optimally switching between local and Bayesian optimization

Covariate Shift in High-Dimensional Random Feature Regression

ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space

Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions

Convergence Rates with Inexact Non-expansive Operators

Distributed Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints

What Should Robot Policies Learn to Predict? Rethinking Supervision Targets in Vision-Language-Action Learning

Learning to Think and Explore in 3D World

NICE Toolbox: Nonverbal Interpersonal Communication Exploration Toolbox

The Case for Bayesian Deep Learning

Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity

Dual Attention-Based Federated Learning for Wireless Traffic Prediction