Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. 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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5,761 to 5,820 of 20,188

Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment
Saad Mohammad Abrar, Eesha Kurella, Arnav Dadarya +3
cs.LGcs.CYarXiv:2609.00345v12026
Global disease monitoring and forecasting with Wikipedia
Nicholas Generous, Geoffrey Fairchild, Alina Deshpande +2
cs.SIcs.LGphysics.soc-pharXiv:1405.3612v22014
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
Triet H. M. Le, Hao Chen, M. Ali Babar
cs.SEcs.AIcs.LGarXiv:2002.05442v12020
Near Optimal Behavior via Approximate State Abstraction
David Abel, D. Ellis Hershkowitz, Michael L. Littman
cs.LGcs.AIarXiv:1701.04113v12017
Reinforcing General Reasoning without Verifiers
Xiangxin Zhou, Zichen Liu, Anya Sims +6
cs.LGcs.CLarXiv:2505.21493v12025
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Lei Huang, Yi Zhou, Fan Zhu +2
cs.CVcs.LGarXiv:1904.03441v12019
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
Haozhen Zhang, Tao Feng, Jiaxuan You
cs.CLcs.AIcs.LGarXiv:2506.09033v32025
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
Runxi Cheng, Feng Xiong, Yongxian Wei +2
cs.LGarXiv:2503.08099v22025
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar +3
stat.MLcs.LGarXiv:1803.01905v32018
Rethinking embedding coupling in pre-trained language models
Hyung Won Chung, Thibault Févry, Henry Tsai +2
cs.CLcs.LGarXiv:2010.12821v12020
NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant Shenoy
cs.CRcs.HCcs.LGarXiv:2609.00390v12026
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare +3
cs.CLcs.AIcs.LGarXiv:2506.01062v42025
Incorporating Domain Knowledge into Deep Neural Networks
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja +1
cs.NEcs.AIcs.LGarXiv:2103.00180v22021
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen, Avihu Dekel, Daphna Weinshall
cs.LGarXiv:2202.02794v42022
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Aaron Blakeman +198
cs.CLcs.AIcs.LGarXiv:2504.03624v42025
Neural Prompt Search
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
cs.CVcs.AIcs.LGarXiv:2206.04673v22022
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications
Xuhui Meng, Hessam Babaee, George Em Karniadakis
cs.LGphysics.comp-pharXiv:2012.13294v12020
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Quy-Anh Dang, Chris Ngo
cs.LGcs.CLarXiv:2503.16219v22025
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan +2
cs.LGcs.AIcs.ROarXiv:1809.07731v12018
DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
Weiran Wang, Xintong Huo, Yueying Wang +7
cs.LGcs.AIcs.ETarXiv:2609.00059v12026
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
Bertie Vidgen, Tristan Thrush, Zeerak Waseem +1
cs.CLcs.LGarXiv:2012.15761v22020
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
Vaishakh Patil, Christos Sakaridis, Alexander Liniger +1
cs.CVcs.AIcs.LGarXiv:2204.02091v12022
Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack +1
quant-phcs.LGarXiv:1906.07682v22019
State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
Zhuoran Qiao, Weili Nie, Arash Vahdat +2
q-bio.QMcs.LGq-bio.BMarXiv:2209.15171v22022
Open-environment Machine Learning
Zhi-Hua Zhou
cs.LGarXiv:2206.00423v22022
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam Fowl, Jonas Geiping, Wojtek Czaja +2
cs.LGcs.CRarXiv:2110.13057v22021
Neural Embeddings of Graphs in Hyperbolic Space
Benjamin Paul Chamberlain, James Clough, Marc Peter Deisenroth
stat.MLcs.LGarXiv:1705.10359v12017
AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
Zhiheng Xi, Chenyang Liao, Guanyu Li +12
cs.CLcs.IRcs.LGarXiv:2511.08325v12025
Proximity Forest: An effective and scalable distance-based classifier for time series
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier +5
cs.LGstat.MLarXiv:1808.10594v22018
Improving Vision-Language-Action Model with Online Reinforcement Learning
Yanjiang Guo, Jianke Zhang, Xiaoyu Chen +4
cs.ROcs.CVcs.LGarXiv:2501.16664v12025
ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration
Yuchen Bao, Chao Wen, Haowei Wang +10
cs.LGcs.AIcs.CVarXiv:2609.00061v12026
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren +7
cs.CLcs.AIcs.LGarXiv:2504.10160v12025
Hidden relationships in a document-derived property graph: top-k chunk embeddings and inverse-distance weighting over a dynamically evolving ontology
Bilge Kaan Karamete, Hunter Casten
cs.CEcs.LGarXiv:2609.00387v12026
Dense Weak Hiding: Closing Complexity Gaps in Nonconvex and PL Finite-Sum Optimization under Individual Smoothness
Yuxing Peng, Zhiqing Tang, Weijia Jia
cs.DScs.LGmath.OCarXiv:2609.00045v12026
PhaseLink: A Deep Learning Approach to Seismic Phase Association
Zachary E. Ross, Yisong Yue, Men-Andrin Meier +2
cs.LGphysics.geo-phstat.MLarXiv:1809.02880v22018
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau, Vineeth N. Balasubramanian
cs.LGarXiv:1610.09650v22016
A Multi-Branch Feature Fusion Approach for Health Misinformation Detection and Propagation
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
cs.LGcs.SIarXiv:2609.00403v12026
Atom of Thoughts for Markov LLM Test-Time Scaling
Fengwei Teng, Quan Shi, Zhaoyang Yu +4
cs.CLcs.AIcs.LGarXiv:2502.12018v42025
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun +4
cs.LGcs.GTcs.NIarXiv:2009.10269v12020
Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains
Zi Wang, Minghui Xu, Tapan Mukerji
cs.LGcs.AIarXiv:2609.00297v12026
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
Tonghe Zhang, Chao Yu, Sichang Su +1
cs.ROcs.LGarXiv:2505.22094v72025
ASGO: Adaptive Structured Gradient Optimization
Kang An, Yuxing Liu, Rui Pan +4
cs.LGmath.OCarXiv:2503.20762v32025
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
Boris Bonev, Thorsten Kurth, Ankur Mahesh +7
cs.LGphysics.ao-pharXiv:2507.12144v22025
Maximizing Confidence Alone Improves Reasoning
Mihir Prabhudesai, Lili Chen, Alex Ippoliti +3
cs.LGcs.AIarXiv:2505.22660v42025
Neural probabilistic motor primitives for humanoid control
Josh Merel, Leonard Hasenclever, Alexandre Galashov +5
cs.LGcs.AIcs.ROarXiv:1811.11711v22018
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach
Cristian C. Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar +1
cs.ROcs.LGarXiv:2008.10224v32020
Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
Vlad Sobal, Wancong Zhang, Kyunghyun Cho +3
cs.LGarXiv:2502.14819v42025
Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal +6
stat.MLcs.AIcs.LGarXiv:1910.01075v22019
A Mean Field Theory of Batch Normalization
Greg Yang, Jeffrey Pennington, Vinay Rao +2
cs.NEcond-mat.dis-nncs.LGarXiv:1902.08129v22019
DTC: Deep Tracking Control
Fabian Jenelten, Junzhe He, Farbod Farshidian +1
cs.ROcs.LGeess.SYarXiv:2309.15462v22023
Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling
Siyu Chen, Esha Saha, Hao Wang
stat.APcs.LGarXiv:2609.01675v12026
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu, Xihong Yang, Sihang Zhou +7
cs.LGcs.AIarXiv:2212.08665v32022
Ten Architectures, One Error: Shared Failure Modes in Hyperspectral Classification under Spatially Disjoint Evaluation
Ehsan Faghih, Fatemeh Ashrafi, Marguerite Moore +1
cs.CVcs.LGarXiv:2609.01786v12026
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung +1
cs.LGcs.AIcs.CLarXiv:2010.03526v12020
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin +2
cs.LGcs.AIcs.CLarXiv:2502.12215v22025
Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities
Pablo Benalcazar, Maciej Kalka, Wilian Guamán +1
cs.LGcs.CYarXiv:2609.01680v12026
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data
Guoxu Zhou, Qibin Zhao, Yu Zhang +3
cs.CEcs.LGmath.NAarXiv:1508.07416v12015
Learning Human Identity from Motion Patterns
Natalia Neverova, Christian Wolf, Griffin Lacey +4
cs.LGcs.CVcs.NEarXiv:1511.03908v42015
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Edan Toledo, Karen Hambardzumyan, Martin Josifoski +22
cs.AIcs.LGarXiv:2507.02554v22025
Decentralized Federated Learning through Proxy Model Sharing
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell +2
cs.LGarXiv:2111.11343v22021

Machine Learning

Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment

Global disease monitoring and forecasting with Wikipedia

Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges

Near Optimal Behavior via Approximate State Abstraction

Reinforcing General Reasoning without Verifiers

Iterative Normalization: Beyond Standardization towards Efficient Whitening

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning

Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors

Convergence of Gradient Descent on Separable Data

Rethinking embedding coupling in pre-trained language models

NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Incorporating Domain Knowledge into Deep Neural Networks

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

Neural Prompt Search

Multi-fidelity Bayesian Neural Networks: Algorithms and Applications

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior

Parameterized quantum circuits as machine learning models

State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

Open-environment Machine Learning

Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models

Neural Embeddings of Graphs in Hyperbolic Space

AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress

Proximity Forest: An effective and scalable distance-based classifier for time series

Improving Vision-Language-Action Model with Online Reinforcement Learning

ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

Hidden relationships in a document-derived property graph: top-k chunk embeddings and inverse-distance weighting over a dynamically evolving ontology

Dense Weak Hiding: Closing Complexity Gaps in Nonconvex and PL Finite-Sum Optimization under Individual Smoothness

PhaseLink: A Deep Learning Approach to Seismic Phase Association

Deep Model Compression: Distilling Knowledge from Noisy Teachers

A Multi-Branch Feature Fusion Approach for Health Misinformation Detection and Propagation

Atom of Thoughts for Markov LLM Test-Time Scaling

An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach

Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

ASGO: Adaptive Structured Gradient Optimization

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Maximizing Confidence Alone Improves Reasoning

Neural probabilistic motor primitives for humanoid control

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Learning Neural Causal Models from Unknown Interventions

A Mean Field Theory of Batch Normalization

DTC: Deep Tracking Control

Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Ten Architectures, One Error: Shared Failure Modes in Hyperspectral Classification under Spatially Disjoint Evaluation

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities

Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data

Learning Human Identity from Motion Patterns

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench

Decentralized Federated Learning through Proxy Model Sharing