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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55,801 to 55,860 of 118,033

Posterior sampling by source-space MCMC via prior-based few-step transport maps
Hoang Phuc Hau Luu, Marcelo Hartmann, Zhongjian Wang
stat.MLcs.AIcs.LGarXiv:2610.01034v12026
What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang +3
cs.LGcs.AIcs.CVarXiv:1905.13211v42019
Convergence of Langevin MCMC in KL-divergence
Xiang Cheng, Peter Bartlett
stat.MLarXiv:1705.09048v22017
On the cryptanalysis of Fridrich's chaotic image encryption scheme
Eric Yong Xie, Chengqing Li, Simin Yu +1
cs.CRarXiv:1609.05352v22016
Recognition Without Enforcement: Configuration-Dependent Failures in LLM Agent Instruction Arbitration and External Control
Jun Wen Leong
cs.CRarXiv:2608.28502v12026
Compressed Remote Sensing of Sparse Objects
Albert Fannjiang, Pengchong Yan, Thomas Strohmer
physics.data-anphysics.opticsarXiv:0904.3994v22009
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, Caiming Xiong +2
cs.CLcs.LGarXiv:1711.02281v22017
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad, Banghua Zhu, Cong Ma +2
cs.LGcs.AImath.OCarXiv:2103.12021v22021
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
cs.ROarXiv:2310.08864v92023
Periodically-driven quantum systems: Effective Hamiltonians and engineered gauge fields
N. Goldman, J. Dalibard
cond-mat.quant-gascond-mat.mes-hallquant-pharXiv:1404.4373v32014
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao, Aochuan Chen, Xiangguo Sun +2
cs.LGarXiv:2402.09834v22024
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
Liyan Sun, Chenxin Li, Xinghao Ding +3
cs.CVarXiv:2012.05440v12020
Community detection in networks: Modularity optimization and maximum likelihood are equivalent
M. E. J. Newman
cs.SIphysics.soc-pharXiv:1606.02319v12016
Machine-learning interatomic potentials for materials science
Y. Mishin
cond-mat.mtrl-sciarXiv:2102.06163v22021
Diversity Without Fidelity: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation Simulation
Sandro Andric
cs.LGcs.AIcs.CYarXiv:2604.11840v32026
Generating Visual Scenes from Touch
Fengyu Yang, Jiacheng Zhang, Andrew Owens
cs.CVarXiv:2309.15117v12023
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei, Lei Feng, Xiangyu Chen +1
cs.CVcs.LGstat.MLarXiv:2003.02752v32020
Neural Temporal-Difference and Q-Learning Provably Converge to Global Optima
Qi Cai, Zhuoran Yang, Jason D. Lee +1
cs.LGcs.AImath.OCarXiv:1905.10027v22019
Opinion Dynamics in Heterogeneous Networks: Convergence Conjectures and Theorems
Anahita Mirtabatabaei, Francesco Bullo
math.DSarXiv:1103.2829v22011
Reinforcement Learning from Rich Feedback with Distributional DAgger
Rishabh Agrawal, Jacob Fein-Ashley, Paria Rashidinejad
cs.LGcs.AIcs.CLarXiv:2606.05152v22026
Neuro-Symbolic Program Synthesis
Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh +3
cs.AIcs.PLarXiv:1611.01855v12016
Marian: Fast Neural Machine Translation in C++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak +9
cs.CLarXiv:1804.00344v32018
SpikeOPD: Stable On-Policy Distillation for Autoregressive Spiking Language Models
Enqiao Lu, Xingrui Yu, Yiwei Fu +7
cs.AIarXiv:2608.27857v12026
"Convex Until Proven Guilty": Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
Yair Carmon, Oliver Hinder, John C. Duchi +1
math.OCarXiv:1705.02766v12017
Learning to learn with quantum neural networks via classical neural networks
Guillaume Verdon, Michael Broughton, Jarrod R. McClean +5
quant-phcs.LGarXiv:1907.05415v12019
Sparse Methods for Direction-of-Arrival Estimation
Zai Yang, Jian Li, Petre Stoica +1
cs.ITarXiv:1609.09596v22016
Shape Robust Text Detection with Progressive Scale Expansion Network
Wenhai Wang, Enze Xie, Xiang Li +4
cs.CVarXiv:1903.12473v22019
Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
Yongding Tao, Tian Wang, Yihong Dong +4
cs.CLcs.AIcs.LGarXiv:2510.09259v22025
LLM-Only PDDL Domain Repair with Open-Weight Models
Nader Karimi Bavandpour, Pascal Bercher
cs.AIarXiv:2608.17341v12026
An Optimal Separation Between Certificate Complexity and Approximate Degree
Kaspars Balodis
cs.CCarXiv:2608.30351v12026
Learning From Noisy Singly-labeled Data
Ashish Khetan, Zachary C. Lipton, Anima Anandkumar
cs.LGarXiv:1712.04577v22017
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur, Ryota Tomioka, Nathan Srebro
cs.LGcs.AIcs.CVarXiv:1412.6614v42014
Automatic Image Segmentation by Dynamic Region Merging
Bo Peng, Lei Zhang, David Zhang
cs.CVcs.ROarXiv:1012.1193v12010
Pareto Self-Supervised Training for Few-Shot Learning
Zhengyu Chen, Jixie Ge, Heshen Zhan +2
cs.CVarXiv:2104.07841v22021
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Yubo Ma, Yixin Cao, YongChing Hong +1
cs.CLcs.AIarXiv:2303.08559v22023
Enriching Pre-trained Language Model with Entity Information for Relation Classification
Shanchan Wu, Yifan He
cs.CLarXiv:1905.08284v12019
Fluctuation-based Adaptive Structured Pruning for Large Language Models
Yongqi An, Xu Zhao, Tao Yu +2
cs.CLcs.AIarXiv:2312.11983v12023
A Unified Model for Multi-class Anomaly Detection
Zhiyuan You, Lei Cui, Yujun Shen +4
cs.CVarXiv:2206.03687v32022
Evading Deepfake-Image Detectors with White- and Black-Box Attacks
Nicholas Carlini, Hany Farid
cs.CVcs.CRarXiv:2004.00622v12020
Crowd Counting using Deep Recurrent Spatial-Aware Network
Lingbo Liu, Hongjun Wang, Guanbin Li +2
cs.CVarXiv:1807.00601v12018
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf, Jonathan Proctor, Tamma Carleton +5
cs.LGcs.CVarXiv:2010.08168v12020
Typilus: Neural Type Hints
Miltiadis Allamanis, Earl T. Barr, Soline Ducousso +1
cs.PLcs.LGstat.MLarXiv:2004.10657v12020
Compositional Visual Generation with Composable Diffusion Models
Nan Liu, Shuang Li, Yilun Du +2
cs.CVcs.AIcs.LGarXiv:2206.01714v62022
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models
Neha Sengupta, Sunil Kumar Sahu, Bokang Jia +29
cs.CLcs.AIcs.LGarXiv:2308.16149v22023
Full-Gradient Representation for Neural Network Visualization
Suraj Srinivas, Francois Fleuret
cs.LGcs.CVstat.MLarXiv:1905.00780v42019
Improving and Simplifying Pattern Exploiting Training
Derek Tam, Rakesh R Menon, Mohit Bansal +2
cs.CLcs.AIcs.LGarXiv:2103.11955v32021
Causality-based Neural Network Repair
Bing Sun, Jun Sun, Hong Long Pham +1
cs.SEcs.AIcs.LGarXiv:2204.09274v22022
Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Yiming Sun, Bing Cao, Pengfei Zhu +1
cs.CVcs.LGeess.IVarXiv:2003.02437v22020
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni +2
math.OCcs.LGstat.MLarXiv:1710.01688v32017
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang, Prakhar Srivastava, Stephan Mandt
cs.CVcs.LGstat.MLarXiv:2203.09481v52022
Exact Algorithms for Maximum Independent Set
Mingyu Xiao, Hiroshi Nagamochi
cs.DSarXiv:1312.6260v12013
Calibration-Free Cuffless Blood Pressure Estimation Using Multimodal ECG-PPG Fusion on a Google Pixel Watch
Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi +2
cs.HCarXiv:2608.26325v12026
Initial Beam Association in Millimeter Wave Cellular Systems: Analysis and Design Insights
Ahmed Alkhateeb, Young-Han Nam, Md Saifur Rahman +2
cs.ITmath.ITarXiv:1602.06598v12016
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Carlos Riquelme, George Tucker, Jasper Snoek
stat.MLcs.LGarXiv:1802.09127v12018
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung +2
cs.CVarXiv:1808.02128v22018
A Continuous-Time Generalization of the LPV Fundamental Lemma
Philipp Schmitz, Chris Verhoek
eess.SYcs.SYmath.OCarXiv:2609.07241v22026
A Fast New Public Code for Computing Photon Orbits in a Kerr Spacetime
Jason Dexter, Eric Agol
astro-ph.HEarXiv:0903.0620v12009
Topological Planning with Transformers for Vision-and-Language Navigation
Kevin Chen, Junshen K. Chen, Jo Chuang +2
cs.ROcs.AIcs.CLarXiv:2012.05292v12020
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan, Song Bai, Lingxi Xie +3
cs.CVarXiv:1904.08189v32019
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
Mengkang Hu, Yao Mu, Xinmiao Yu +7
cs.CLcs.AIcs.LGarXiv:2310.08582v22023

Every paper with a summary

Posterior sampling by source-space MCMC via prior-based few-step transport maps

What Can Neural Networks Reason About?

Convergence of Langevin MCMC in KL-divergence

On the cryptanalysis of Fridrich's chaotic image encryption scheme

Recognition Without Enforcement: Configuration-Dependent Failures in LLM Agent Instruction Arbitration and External Control

Compressed Remote Sensing of Sparse Objects

Non-Autoregressive Neural Machine Translation

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Periodically-driven quantum systems: Effective Hamiltonians and engineered gauge fields

All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

Community detection in networks: Modularity optimization and maximum likelihood are equivalent

Machine-learning interatomic potentials for materials science

Diversity Without Fidelity: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation Simulation

Generating Visual Scenes from Touch

Combating noisy labels by agreement: A joint training method with co-regularization

Neural Temporal-Difference and Q-Learning Provably Converge to Global Optima

Opinion Dynamics in Heterogeneous Networks: Convergence Conjectures and Theorems

Reinforcement Learning from Rich Feedback with Distributional DAgger

Neuro-Symbolic Program Synthesis

Marian: Fast Neural Machine Translation in C++

SpikeOPD: Stable On-Policy Distillation for Autoregressive Spiking Language Models

"Convex Until Proven Guilty": Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions

Learning to learn with quantum neural networks via classical neural networks

Sparse Methods for Direction-of-Arrival Estimation

Shape Robust Text Detection with Progressive Scale Expansion Network

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

LLM-Only PDDL Domain Repair with Open-Weight Models

An Optimal Separation Between Certificate Complexity and Approximate Degree

Learning From Noisy Singly-labeled Data

In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning

Automatic Image Segmentation by Dynamic Region Merging

Pareto Self-Supervised Training for Few-Shot Learning

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Enriching Pre-trained Language Model with Entity Information for Relation Classification

Fluctuation-based Adaptive Structured Pruning for Large Language Models

A Unified Model for Multi-class Anomaly Detection

Evading Deepfake-Image Detectors with White- and Black-Box Attacks

Crowd Counting using Deep Recurrent Spatial-Aware Network

A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery

Typilus: Neural Type Hints

Compositional Visual Generation with Composable Diffusion Models

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

Full-Gradient Representation for Neural Network Visualization

Improving and Simplifying Pattern Exploiting Training

Causality-based Neural Network Repair

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

On the Sample Complexity of the Linear Quadratic Regulator

Diffusion Probabilistic Modeling for Video Generation

Exact Algorithms for Maximum Independent Set

Calibration-Free Cuffless Blood Pressure Estimation Using Multimodal ECG-PPG Fusion on a Google Pixel Watch

Initial Beam Association in Millimeter Wave Cellular Systems: Analysis and Design Insights

Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Attentive Semantic Alignment with Offset-Aware Correlation Kernels

A Continuous-Time Generalization of the LPV Fundamental Lemma

A Fast New Public Code for Computing Photon Orbits in a Kerr Spacetime

Topological Planning with Transformers for Vision-and-Language Navigation

CenterNet: Keypoint Triplets for Object Detection

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models