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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361 to 420 of 20,193

A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification
Kehan Long, Yiqi Zhao, Pol Mestres +3
math.OCcs.LGeess.SYarXiv:2608.29789v12026
Machine learning for neural decoding
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury +3
q-bio.NCcs.LGstat.MLarXiv:1708.00909v42017
BERTology of Molecular Property Prediction
Mohammad Mostafanejad, Paul Saxe, T. Daniel Crawford
cs.LGcs.CLarXiv:2603.13627v12026
Beyond Non-IID: Learner--Client Distribution Mismatch in Federated Learning
Yiming Xie, Lili Su, Ningfang Mi
cs.LGarXiv:2608.27715v12026
Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers
Markus Frohmann, Mahdiyar Alavi, Elizabeth Lingg +1
cs.CLcs.IRcs.LGarXiv:2608.26762v12026
Daydreaming: Stealing Hidden Agent Skills through Black-Box Task Interaction
Yu-Lin Tsai, Yu-An Lu, Ci-Yang Tsai +3
cs.CRcs.AIcs.LGarXiv:2608.26733v12026
Evaluating Memory Structure in LLM Agents
Alina Shutova, Alexandra Olenina, Ivan Vinogradov +1
cs.LGcs.CLarXiv:2602.11243v22026
A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM
Alkin Kaz, Arda Kaz, Ellen D. Zhong
q-bio.BMcs.LGarXiv:2608.25388v12026
GENIUS: Generative Fluid Intelligence Evaluation Suite
Ruichuan An, Sihan Yang, Ziyu Guo +8
cs.LGcs.AIcs.CVarXiv:2602.11144v12026
FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs
Ze Sheng, Aleksandar Kezic, Zhicheng Chen +1
cs.AIcs.CRcs.LGarXiv:2608.25158v12026
Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration
Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4
eess.SYcs.LGmath.OCarXiv:2608.25095v12026
Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL
Ian Wu, Yuxiao Qu, Amrith Setlur +1
cs.LGarXiv:2602.03773v22026
From Numerical Simulators of PDEs to Neural Emulators and Back
Felix Koehler
cs.LGarXiv:2608.24547v12026
An Empirical Study of World Model Quantization
Zhongqian Fu, Tianyi Zhao, Kai Han +3
cs.LGcs.CVarXiv:2602.02110v12026
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
cs.CVcs.LGstat.MLarXiv:1609.03677v32016
It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces
Leonhard F. Feiner, Manuel Nickel, Martin Menten +6
cs.LGcs.CVarXiv:2608.24518v12026
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba +3
cs.LGcs.CVcs.NEarXiv:1606.03498v12016
LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology
Marie-Lisa Eich, Kai Standvoss, Timo Milbich +30
cs.CVcs.AIcs.LGarXiv:2608.23803v12026
Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers
Federico Stella, Fei Jiang, Zhongshi Jiang +4
cs.CVcs.LGarXiv:2608.23410v12026
Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification
Yiju Guo, Tianyi Hu, Zexu Sun +1
cs.LGcs.AIcs.CLarXiv:2601.21244v32026
Deep Knowledge Tracing
Chris Piech, Jonathan Spencer, Jonathan Huang +4
cs.AIcs.CYcs.LGarXiv:1506.05908v12015
Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD
Murat Bilgehan Ertan, Marten van Dijk
cs.LGcs.CRarXiv:2601.10237v32026
Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments
Yuki Murakami, Takumi Hattori, Kohsuke Kubota
stat.MEcs.AIcs.LGarXiv:2608.22024v12026
Transition Matching Distillation for Fast Video Generation
Weili Nie, Julius Berner, Nanye Ma +3
cs.CVcs.AIcs.LGarXiv:2601.09881v22026
MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness
Ashutosh Hathidara, Julien Yu, Vaishali Senthil +2
cs.AIcs.LGarXiv:2601.08118v32026
Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs
Luka Ribar, Jeevan Bhoot, Douglas Orr
cs.CVcs.LGarXiv:2608.21134v12026
Comparison of Bayesian predictive methods for model selection
Juho Piironen, Aki Vehtari
stat.MEcs.LGarXiv:1503.08650v42015
CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery
Piyush Jha, Jake Rudolph, Victoria Knapp-Pérez +3
cs.AIcs.LGcs.LOarXiv:2608.20686v12026
The Principles of Diffusion Models
Chieh-Hsin Lai, Yang Song, Dongjun Kim +2
cs.LGcs.AIcs.GRarXiv:2510.21890v32025
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1412.1602v12014
What is Missing from AI Post-Training AI: An Empirical Analysis
Joy Jia Yin Lim, Xin Huang, Hao Peng +5
cs.AIcs.CLcs.LGarXiv:2608.19072v12026
Flama: a Python framework for development and deployment of production-ready APIs, machine learning, and LLM services
José A. Perdiguero López, Miguel A. Durán-Olivencia
cs.SEcs.AIcs.LGarXiv:2608.18733v12026
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models
Pardis Taghavi, Reza Langari, Gaurav Pandey
cs.CVcs.AIcs.LGarXiv:2608.18484v12026
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy M. Cohen, Simran Kaur, Yuanzhi Li +2
cs.LGstat.MLarXiv:2103.00065v32021
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Nikhil Keetha, Norman Müller, Johannes Schönberger +14
cs.CVcs.AIcs.LGarXiv:2509.13414v32025
A Survey of Reinforcement Learning for Large Reasoning Models
Kaiyan Zhang, Yuxin Zuo, Bingxiang He +36
cs.CLcs.AIcs.LGarXiv:2509.08827v32025
Deep Think with Confidence
Yichao Fu, Xuewei Wang, Yuandong Tian +1
cs.LGarXiv:2508.15260v12025
Degradation-Aligned Self-Supervised Learning for State of Health Estimation of Lithium-Ion Batteries under Label Sparsity
Jiaqi Yao, Julia Kowal
eess.SPcs.AIcs.LGarXiv:2608.16612v12026
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Runpeng Yu, Qi Li, Xinchao Wang
cs.LGcs.AIarXiv:2506.13759v52025
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15
cs.AIcs.LGcs.NEarXiv:2506.13131v12025
Semi-supervised clustering methods
Eric Bair
stat.MEcs.LGstat.MLarXiv:1307.0252v12013
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks
Philippe Schwaller, Daniel Probst, Alain C. Vaucher +4
physics.chem-phcs.CLcs.LGarXiv:2012.06051v12020
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard, Andrea Montanari
stat.MEcs.ITcs.LGarXiv:1306.3171v22013
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
Chenxi Whitehouse, Tianlu Wang, Ping Yu +4
cs.CLcs.AIcs.LGarXiv:2505.10320v32025
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Andrew Zhao, Yiran Wu, Yang Yue +8
cs.LGcs.AIcs.CLarXiv:2505.03335v32025
Measuring Structured Predictability in Neural Training Dynamics: A Cross-Regime Study
Fanqi Wang, Weisheng Tang, Hairong Qi
cs.LGarXiv:2608.15483v12026
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
cs.CLcs.LGstat.MLarXiv:2010.00577v32020
A Survey on Multi-view Learning
Chang Xu, Dacheng Tao, Chao Xu
cs.LGarXiv:1304.5634v12013
Language models suffer from a curse of ambiguity
Nicolas Zucchet, Hyun Dong Lee, Scott Linderman
cs.CLcs.LGcs.NEarXiv:2608.15448v12026
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng, Pengtao Xie
cs.LGstat.MLarXiv:2009.05923v12020
Diagnosing and Mitigating Perception-Decision Misalignment in Omni-LLMs via Modality Subspace Activation
Hongbo Jiang, Jie Li, Yunhang Shen +2
cs.LGcs.CVarXiv:2608.14655v12026
Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion
Surya Saka
cs.LGcs.AIcs.CLarXiv:2608.14617v12026
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu, Kalyanmoy Deb, Erik Goodman +2
cs.CVcs.LGcs.NEarXiv:2007.10396v12020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park +3
cs.LGstat.MLarXiv:2007.08844v22020
CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
Hamza Shafiq, Hung Manh Pham, Bin Zhu +3
cs.LGeess.IVstat.MLarXiv:2608.12944v12026
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin, Wray Buntine, Farid Boussaid +2
cs.LGstat.MLarXiv:2007.06823v32020
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
Pantelis R. Vlachas, Georgios Arampatzis, Caroline Uhler +1
physics.comp-phcs.LGnlin.CDarXiv:2006.13431v32020
A Bayesian Approach to Robust Inverse Reinforcement Learning
Ran Wei, Siliang Zeng, Chenliang Li +3
cs.LGarXiv:2309.08571v22023
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
Yuxiang Zhang, Zhengxu Yu, Weihang Pan +5
cs.LGcs.AIarXiv:2511.13223v12025
TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
Shanghua Gao, Richard Zhu, Zhenglun Kong +5
cs.AIcs.LGarXiv:2503.10970v12025

Machine Learning

A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

Machine learning for neural decoding

BERTology of Molecular Property Prediction

Beyond Non-IID: Learner--Client Distribution Mismatch in Federated Learning

Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers

Daydreaming: Stealing Hidden Agent Skills through Black-Box Task Interaction

Evaluating Memory Structure in LLM Agents

A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM

GENIUS: Generative Fluid Intelligence Evaluation Suite

FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs

Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL

From Numerical Simulators of PDEs to Neural Emulators and Back

An Empirical Study of World Model Quantization

Unsupervised Monocular Depth Estimation with Left-Right Consistency

It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces

Improved Techniques for Training GANs

LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers

Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification

Deep Knowledge Tracing

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD

Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments

Transition Matching Distillation for Fast Video Generation

MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness

Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs

Comparison of Bayesian predictive methods for model selection

CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery

The Principles of Diffusion Models

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results

What is Missing from AI Post-Training AI: An Empirical Analysis

Flama: a Python framework for development and deployment of production-ready APIs, machine learning, and LLM services

Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

A Survey of Reinforcement Learning for Large Reasoning Models

Deep Think with Confidence

Degradation-Aligned Self-Supervised Learning for State of Health Estimation of Lithium-Ion Batteries under Label Sparsity

Discrete Diffusion in Large Language and Multimodal Models: A Survey

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Semi-supervised clustering methods

Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks

Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Measuring Structured Predictability in Neural Training Dynamics: A Cross-Regime Study

Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

A Survey on Multi-view Learning

Language models suffer from a curse of ambiguity

Contrastive Self-supervised Learning for Graph Classification

Diagnosing and Mitigating Perception-Decision Misalignment in Omni-LLMs via Modality Subspace Activation

Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion

NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation

Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

Multiscale Simulations of Complex Systems by Learning their Effective Dynamics

A Bayesian Approach to Robust Inverse Reinforcement Learning

TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools