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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7,021 to 7,080 of 20,199

Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
Indro Spinelli, Simone Scardapane, Aurelio Uncini
cs.LGstat.MLarXiv:1905.01907v22019
Survey on Evaluation of LLM-based Agents
Asaf Yehudai, Lilach Eden, Alan Li +5
cs.AIcs.CLcs.LGarXiv:2503.16416v22025
Context Inference Attacks Without Jailbreaks
Prince Jha, Samuele Poppi, Nils Lukas
cs.CRcs.LGarXiv:2609.01663v12026
Metric and Kernel Learning using a Linear Transformation
Prateek Jain, Brian Kulis, Jason V. Davis +1
cs.LGcs.CVcs.IRarXiv:0910.5932v12009
Random Hazard Forests
Hemant Ishwaran, Eileen M. Hsich, Udaya B. Kogalur +1
stat.MLcs.LGstat.MEarXiv:2608.21597v12026
Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation
Om Singh, Yagyaraj Pandey, Nandini Pathak
cs.CRcs.CYcs.LGarXiv:2608.21477v12026
PepLLM: ESM-Guided Llama for Structured Protein-Peptide Binding Interface Analysis
Hao Qian, Shikui Tu, Lei Xu
q-bio.BMcs.AIcs.LGarXiv:2608.21367v12026
ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text
Sandra Mitrović, Davide Andreoletti, Omran Ayoub
cs.CLcs.LGarXiv:2301.13852v12023
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak +1
astro-ph.COastro-ph.IMcs.AIarXiv:1810.12186v22018
Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi +1
cs.CRcs.LGarXiv:2602.20156v32026
Bern2Edge: A Neurosymbolic Compiler for Edge Deployment via Bernstein Polynomial Networks
Malak Gamal El-Din, Yifan Zhang, Yasser Shoukry +2
cs.LGcs.ARarXiv:2608.20497v12026
Shared Physics Responses Recover Hidden Rankings in Neural Operator Libraries
Hanbing Liang, Fujun Liu
cs.LGmath.NAphysics.comp-pharXiv:2608.20441v12026
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
Tengyang Xie, Yifei Ma, Yu-Xiang Wang
cs.LGcs.AIstat.MLarXiv:1906.03393v42019
If It Walks Like an Arbitrage: Protocol-Agnostic Detection with Decidable Structural Equivalence
Adam Khayam, Hamid Kolli, Mohamed Iguernalala +1
q-fin.CPcs.CRcs.LGarXiv:2608.20377v12026
PGFS++: Molecular Property Improvement under Synthesis and Diversity Constraints
Boqiao Zhang, Godbless James, Sai Krishna Gottipati +1
cs.LGcs.AIarXiv:2608.19121v12026
Deep Neural Decision Trees
Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales
cs.LGstat.MLarXiv:1806.06988v12018
MoBA: Mixture of Block Attention for Long-Context LLMs
Enzhe Lu, Zhejun Jiang, Jingyuan Liu +22
cs.LGcs.AIcs.CLarXiv:2502.13189v12025
Elimination Geometry
Mian Huang, Xueqin Wang
cs.LGarXiv:2608.17646v12026
Procedural Content Metageneration via Program Search and Continual Abstraction Discovery
Matthew Siper, Ahmed Khalifa, Julian Togelius
cs.AIcs.LGcs.NEarXiv:2608.17947v12026
Summaries:한국어
Causal Local States: Scalable Simultaneous Causal Network Inference and Forecasting for Dynamical Systems
Jonas Braun, Fabian Fischbach, Daniel Köglmayr +2
cs.LGarXiv:2608.17452v12026
OOD Detection for EEG-based Machine Learning in High-Risk Environments
Philipp Bomatter, Henry Gouk
cs.LGarXiv:2608.17620v12026
On the Principles Behind Neural Network Optimizers
Yushun Zhang
cs.LGmath.OCarXiv:2608.16760v12026
Policy Optimization and Statistical Inference for Online Contextual Matrix Games
Liner Xiang, Yixin Wang, Hengrui Cai
stat.MLcs.LGmath.STarXiv:2608.17173v12026
On Measuring and Mitigating Biased Inferences of Word Embeddings
Sunipa Dev, Tao Li, Jeff Phillips +1
cs.CLcs.LGarXiv:1908.09369v32019
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data
Yilun Zhao, Yunxiang Li, Chenying Li +1
cs.AIcs.LGarXiv:2206.01347v12022
Lambda-Hold Control: Human-Like Movement Emerges from a Minimal Task Reward in Predictive Musculoskeletal Simulation
Jun Hyuk Lee, Chihyeong Lee, Jooeun Ahn
cs.ROcs.GRcs.LGarXiv:2608.17030v12026
Non-Crossing Deep Quantile Regression for Distributional Survival Prediction
Shuai Huang, Zhe Qu, Zhaowei Hua +3
stat.MLcs.LGstat.AParXiv:2608.16864v12026
Unifying Graph Neural Networks Through a Common Layer Equation
Sai Karthik Navuluru, Siddhartha Shankar Das, Bo Ni +9
cs.LGarXiv:2608.16097v12026
TokenSTFormer: A Tokenized Spatial-temporal Attention Model for Holistic Motion Analysis in Adolescent Idiopathic Scoliosis Screening
Dong Chen, Kenneth M. C. Cheung
cs.CVcs.AIcs.LGarXiv:2608.16122v12026
Sparse Prototype Code Underlies Classification and Prediction Across Modalities
Yehonatan Avidan, Daniel D. Lee, Haim Sompolinsky
cs.LGcond-mat.dis-nncs.AIarXiv:2608.15632v12026
PLeDO: Pain Level Detection for Osteoarthritis from EMR Data
Yuhao Chen, Jiahao Cai, Nafiz Sadman +3
cs.AIcs.ETcs.IRarXiv:2608.15719v12026
Does 1/2-Tsallis-INF Also Work Well for Best-Arm Identification?
Jingxin Zhan, Yuze Han, Zhihua Zhang
cs.LGarXiv:2608.15365v12026
SAPE: Sandwich Adapters for Parameter Efficiency in Large Language Model Fine-Tuning
Mohammad Aref Jafari-Raddani, Morteza Mohajjel Kafshdooz
cs.LGcs.AIarXiv:2608.15360v12026
A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression
Sumaiya Afroz Mila, Sandip Ray
cs.LGarXiv:2608.14969v12026
Developing an Offshore Machine Learning Surface Layer Scheme
Susan Dettling, Sue Ellen Haupt, Thomas Brummet +3
physics.ao-phcs.LGarXiv:2608.14935v12026
An automatic-differentiation framework for time-lapse electrical resistivity tomography inversion of hydrologic dynamics
Pu Yang, Zhengyang Fang, Yuxin Liu +3
cs.LGarXiv:2608.14661v12026
Discrete Diffusion Language Models Are Training-Free Multi-Label Classifiers
Pawan Kumar
cs.LGarXiv:2608.14649v12026
Decoding the Past: An Uncertainty-Aware Deep Learning Framework for Sex Attribution in Prehistoric Hand Stencils
Karel Becerra, Boris Mederos, Dean Snow +1
cs.CVcs.AIcs.LGarXiv:2608.14539v12026
Summaries:한국어
Offline Deep Q* Estimation with Diffusion Models
Xiaohong Chen, Yuling Jiao, Lican Kang +2
stat.MLcs.LGarXiv:2608.14401v12026
Generating Benchmark Health Data Using a Tabular Diffusion Transformer
Hao Yan, Lisa Pilgram, Dan Liu +3
cs.LGcs.AIarXiv:2608.14496v12026
The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow
Raphaël Berthier
cs.LGmath.OCstat.MLarXiv:2609.01034v12026
Meteorology-driven Causal Nowcasting of Fugitive Landfill Emissions Enables Proactive Public Health Response
Timothy C. Pearce, David J. T. Smith, Alec Dobney +1
cs.CYcs.AIcs.LGarXiv:2608.14254v12026
Connected Subspace Clustering: Hardness, a Scalable Heuristic, and an Application to Sea Level Geodesy
Johanna Hillebrand, Jan Höckendorff, Jürgen Kusche +5
cs.LGarXiv:2608.14215v12026
Summaries:한국어
Quantum Multi-Armed Bandits and Linear Bandits: Lower Bounds and Algorithms
Maoli Liu, Zhuohua Li, John C. S. Lui
cs.LGquant-pharXiv:2608.14319v12026
Learning Certifiably Optimal Rule Lists for Categorical Data
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi +2
stat.MLcs.LGarXiv:1704.01701v42017
Efficiently Sampling Functions from Gaussian Process Posteriors
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin +2
stat.MLcs.LGstat.COarXiv:2002.09309v42020
Revisiting Energy-based Tabular Anomaly Detection: Energy and Reconstruction are Complementary
Junichiro Niimi
cs.LGstat.MLarXiv:2608.14186v12026
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Akshara Prabhakar, Zuxin Liu, Ming Zhu +12
cs.CLcs.AIcs.LGarXiv:2504.03601v42025
Variation Brownian Kernel Ladders
Mahdi Mohammadigohari
cs.LGarXiv:2608.13882v12026
Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction
Jafin Khan, Md Hossain Shuvo
cs.LGarXiv:2608.13797v12026
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Jiaming Ji, Borong Zhang, Jiayi Zhou +7
cs.AIcs.LGarXiv:2310.12567v32023
Modular Cognitive Architecture Emerges in Large Language Models
Pengrui Han, Jacob Andreas, Evelina Fedorenko +1
cs.AIcs.CLcs.LGarXiv:2608.13567v12026
Tight Complexity Bounds for Optimizing Composite Objectives
Blake Woodworth, Nathan Srebro
math.OCcs.LGstat.MLarXiv:1605.08003v32016
iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy
Ravi Teja Vulchi, Carl Messerschmidt, Mohammadsadegh Vafaeinezhad +4
cs.LGphysics.data-anarXiv:2609.00883v12026
When More is Less: Understanding Chain-of-Thought Length in LLMs
Yuyang Wu, Yifei Wang, Ziyu Ye +3
cs.AIcs.CLcs.LGarXiv:2502.07266v32025
Training AI Scientists to Replicate Research
Damon Falck, Samer Sabri, Anja Surina +8
cs.LGcs.AIarXiv:2608.13331v12026
TANGCO: Learning Topology-Aware Capacity Allocation for Overload-driven Cascading Failures
Orkun Irsoy, Leman Akoglu, Osman Yagan
cs.LGcs.SIarXiv:2608.13212v12026
CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation under Foundation-Model Teachers
Ebenezer Tarubinga
cs.CVcs.LGeess.IVarXiv:2608.12773v12026
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Changlin Li, Jiefeng Peng, Liuchun Yuan +4
cs.CVcs.LGcs.NEarXiv:1911.13053v22019
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
Shuyan Zhou, Uri Alon, Sumit Agarwal +1
cs.SEcs.LGcs.PLarXiv:2302.05527v22023

Machine Learning

Missing Data Imputation with Adversarially-trained Graph Convolutional Networks

Survey on Evaluation of LLM-based Agents

Context Inference Attacks Without Jailbreaks

Metric and Kernel Learning using a Linear Transformation

Random Hazard Forests

Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation

PepLLM: ESM-Guided Llama for Structured Protein-Peptide Binding Interface Analysis

ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text

DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks

Bern2Edge: A Neurosymbolic Compiler for Edge Deployment via Bernstein Polynomial Networks

Shared Physics Responses Recover Hidden Rankings in Neural Operator Libraries

Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling

If It Walks Like an Arbitrage: Protocol-Agnostic Detection with Decidable Structural Equivalence

PGFS++: Molecular Property Improvement under Synthesis and Diversity Constraints

Deep Neural Decision Trees

MoBA: Mixture of Block Attention for Long-Context LLMs

Elimination Geometry

Procedural Content Metageneration via Program Search and Continual Abstraction Discovery

Causal Local States: Scalable Simultaneous Causal Network Inference and Forecasting for Dynamical Systems

OOD Detection for EEG-based Machine Learning in High-Risk Environments

On the Principles Behind Neural Network Optimizers

Policy Optimization and Statistical Inference for Online Contextual Matrix Games

On Measuring and Mitigating Biased Inferences of Word Embeddings

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

Lambda-Hold Control: Human-Like Movement Emerges from a Minimal Task Reward in Predictive Musculoskeletal Simulation

Non-Crossing Deep Quantile Regression for Distributional Survival Prediction

Unifying Graph Neural Networks Through a Common Layer Equation

TokenSTFormer: A Tokenized Spatial-temporal Attention Model for Holistic Motion Analysis in Adolescent Idiopathic Scoliosis Screening

Sparse Prototype Code Underlies Classification and Prediction Across Modalities

PLeDO: Pain Level Detection for Osteoarthritis from EMR Data

Does 1/2-Tsallis-INF Also Work Well for Best-Arm Identification?

SAPE: Sandwich Adapters for Parameter Efficiency in Large Language Model Fine-Tuning

A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression

Developing an Offshore Machine Learning Surface Layer Scheme

An automatic-differentiation framework for time-lapse electrical resistivity tomography inversion of hydrologic dynamics

Discrete Diffusion Language Models Are Training-Free Multi-Label Classifiers

Decoding the Past: An Uncertainty-Aware Deep Learning Framework for Sex Attribution in Prehistoric Hand Stencils

Offline Deep Q* Estimation with Diffusion Models

Generating Benchmark Health Data Using a Tabular Diffusion Transformer

The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow

Meteorology-driven Causal Nowcasting of Fugitive Landfill Emissions Enables Proactive Public Health Response

Connected Subspace Clustering: Hardness, a Scalable Heuristic, and an Application to Sea Level Geodesy

Quantum Multi-Armed Bandits and Linear Bandits: Lower Bounds and Algorithms

Learning Certifiably Optimal Rule Lists for Categorical Data

Efficiently Sampling Functions from Gaussian Process Posteriors

Revisiting Energy-based Tabular Anomaly Detection: Energy and Reconstruction are Complementary

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Variation Brownian Kernel Ladders

Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Modular Cognitive Architecture Emerges in Large Language Models

Tight Complexity Bounds for Optimizing Composite Objectives

iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy

When More is Less: Understanding Chain-of-Thought Length in LLMs

Training AI Scientists to Replicate Research

TANGCO: Learning Topology-Aware Capacity Allocation for Overload-driven Cascading Failures

CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation under Foundation-Model Teachers

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation

CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code