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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19,621 to 19,680 of 20,080

Feasible and Novel Synthetic Population Generation with Tabular and Sequential Travel Attributes
Farbod Abbasi, Zachary Patterson, Bilal Farooq
cs.LGcs.AIarXiv:2608.15867v12026
DeltaLog: Deferred Materialization of Recurrent States for Linear Attention Decoding
Junqing Lin, Jingwei Sun, Guangzhong Sun
cs.DCcs.LGarXiv:2608.15533v12026
UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity
Pengyu Wang, Baochen Xiong, Xiaoshan Yang +4
cs.LGarXiv:2608.15516v12026
Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation
Seung-Won Seo, Won Ik Cho, Yongmin Yoo
cs.CLcs.LGarXiv:2608.16269v12026
ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
Rui Xu, Jiepeng Wang, Hao Pan +6
cs.LGcs.AIcs.CVarXiv:2405.13729v32024
Co-Evolving Policy Distillation
Naibin Gu, Chenxu Yang, Qingyi Si +7
cs.LGarXiv:2604.27083v12026
Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
Xuekang Wang, Zhuoyuan Hao, Shuo Hou +3
cs.LGcs.AIcs.CLarXiv:2606.04923v22026
Flash-WAM: Modality-Aware Distillation for World Action Models
Arman Akbari, Ci Zhang, Arash Akbari +6
cs.LGcs.CVcs.ROarXiv:2606.05254v12026
Adding Voice Cloning to Text-to-Audio-Video Models with a Single Zero-Initialised Layer
Ivan Mikheev, Viacheslav Vasilev, Anna Dmitrienko +4
cs.SDcs.AIcs.LGarXiv:2608.15690v12026
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
Ashutosh Hathidara, Sai Shruthi Sistla, Sebastian Schreiber +1
cs.AIcs.IRcs.LGarXiv:2606.12451v12026
POI Recommendation with LLM-Augmented Multi-Graph Learning and Contrastive Alignment
Burak Tamer, Wolfram Höpken, Zehui Wang
cs.IRcs.LGarXiv:2608.16407v12026
FETERS: Few-Shot Early Time-Series Classification via Effective Ratio Selection
Chen-An Tai, Yujia Wu, Vincent S. Tseng
cs.LGarXiv:2608.16385v12026
Conditional Evaluation of Language Models with Cheap Auxiliary Signals
Zhi Zhang, Lingfeng Lyu, Yue Kang +1
cs.LGstat.MLarXiv:2608.16210v12026
Meta-CoT: Enhancing Granularity and Generalization in Image Editing
Shiyi Zhang, Yiji Cheng, Tiankai Hang +8
cs.CVcs.AIcs.LGarXiv:2604.24625v12026
Retrieval-guided Twin Fusion with Similarity-aware Contrast for Molecule-Text Alignment
Shunshun Gu, Shengqi Qiu, Hang Zhou +1
cs.LGarXiv:2608.16005v12026
Integrating Persuasion Theory into the Epidemiological Modelling of Health Misinformation Spread on Social Media
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
cs.SIcs.AIcs.CLarXiv:2608.15689v12026
Amortised Post-Hoc Explanation with Exact Preservation for Dynamic Graph Anomaly Detectors
Iyad Assaad Nekka, Hamida Seba, Walid Khaled Hidouci +1
cs.LGcs.AIarXiv:2608.15559v12026
Understanding and Stabilizing Deep Q-Learning via Controlled Bootstrapping and Regulated Value Dynamics
Bozhou Chen, Yongyi Wang, Hanyu Liu +2
cs.LGcs.AIarXiv:2608.16182v12026
Protein Structure Prediction: From Evolutionary Constraints to Generative Modeling
Wengan He, Yongsheng Luo, Lihong Jiang +2
cs.AIcs.LGarXiv:2608.16094v12026
BERTopic-Virality Prioritisation: A Scalable Framework for Thematic and Comparative Analysis of COVID-19 and Monkeypox Misinformation on Twitter
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
cs.CLcs.LGcs.SIarXiv:2608.15691v12026
ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction
Jaden Moon, Yu Wu, Arvind Pillai +1
cs.LGcs.HCarXiv:2608.15951v12026
Learning Auditable Classifier Models: Source-Disjoint Tree Ensembles
Srikumar Krishnamoorthy
cs.LGarXiv:2608.15725v12026
Sequential Multimodal Evidence Optimization for Product Media Ranking in E-Commerce
Prasenjit Dey, Frank McIntyre, Arnab Sinha
cs.LGarXiv:2608.15662v12026
zLend: A Dual-Scope Cash-Flow Reconstruction Framework for On-Chain Credit Underwriting
Girish G N, Ashutosh Sahoo, Akshay SP +2
q-fin.RMcs.LGarXiv:2608.16856v12026
LaGSplat: Inferring Physics-Governed Interactive Simulation from Monocular Video Using Latent Lagrangian Gaussian Splatting
Louen Pottier
cs.CVcs.LGarXiv:2608.16324v12026
Summaries:한국어 日本語简体中文 Español Français Deutsch
Self-Supervised Noise2Noise-Enhanced Denoising for Continuous-Scan Air-Plasma THz Spectroscopy
Adam Umra, Oways Alsoloh, Oliver Nagy +2
eess.SPcs.LGarXiv:2608.16454v12026
QSMP: finding representative time series subsequences through Quick Shift+Matrix Profile
Carlos H. Mendoza-Cardenas, Rogers F. Silva, Austin J. Brockmeier
cs.LGarXiv:2608.15492v12026
In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis
Michael Chertok, Alon Tiosano, Orly Gal-Or +4
cs.LGarXiv:2608.15626v12026
The canonical facets of multi-separator polytopes
Bjoern Andres, Silvia Di Gregorio, Jannik Irmai +2
cs.DMcs.LGmath.COarXiv:2608.16861v12026
Beyond $L_2$: Generalizing Abductive Latent Explanations to Diverse Prototype-Based Architectures
Jules Soria, Alban Grastien, Romain Xu-Darme +3
cs.LGarXiv:2608.16773v12026
Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction
Zhong Guan, Yongjian Guo, Haoran Sun +5
cs.LGcs.AIarXiv:2605.12070v22026
Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
Yu-Cheng Lin, Yu-Chao Hsu, I-Shan Tsai +9
quant-phcs.LGarXiv:2605.04604v12026
Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
Kexuan Shi, Hanxuan Li, Zeju Qiu +3
cs.LGstat.MLarXiv:2605.12492v12026
JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation
Lin Song, Wenbo Li, Guoqing Ma +16
cs.GRcs.AIcs.CLarXiv:2605.04128v22026
MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference
Ruijie Zhou, Fanxu Meng, Yufei Xu +4
cs.LGcs.AIarXiv:2605.07363v12026
AMPLIFAI: A Multiphase CT Dataset for Benchmarking Clinical Reasoning in LI-RADS Assessment of Liver Lesions
Pranav Kulkarni, Nikhil Shah, Amritansh Suryavanshi +9
cs.CVcs.LGarXiv:2608.14778v12026
Learning from Language Feedback via Variational Policy Distillation
Yang Li, Erik Nijkamp, Semih Yavuz +1
cs.LGarXiv:2605.15113v22026
Graph Machine Learning: An Opportunity for Power Systems
Martin Sadric, Sebastian Pütz, Christian Nauck +4
cs.LGcs.AIcs.CEarXiv:2608.16494v12026
RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection
Junxin Lu, Jing Zhao, Shiliang Sun
cs.LGcs.AIarXiv:2608.16018v12026
GEO-Flag: Detecting and Measuring GEO-Optimized Web Content
Junjie Chu, Ye Leng, Mingjie Li +3
cs.LGcs.CRcs.IRarXiv:2608.16824v12026
SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning
Jaewan Choi, Junyoung Yang, Sangdon Park
cs.LGarXiv:2608.16249v12026
Delta Attention Residuals
Cheng Luo, Zefan Cai, Junjie Hu
cs.LGcs.CVarXiv:2605.18855v12026
Summaries:한국어
Time-Aware Validation of Machine Learning Fuel Consumption Models: Evidence from 1\,Hz Operational Data, CCGS \textit{Sir Wilfrid Laurier}
Samarasimha Reddy Chittamuru, Ayhan Akinturk, Allison Kennedy +2
cs.LGarXiv:2608.16833v12026
Towards Reasonable Molecular Structure Elucidation from Infrared Spectroscopy with Chemical Feedback
Yusen Tan, Hongyu Zhan, Hai-tao Yu +3
cs.LGarXiv:2608.16082v12026
The Ethical Decision Head: Operationalizing Normative Ethics in Autonomous Vehicles via Reinforcement Learning from Human Feedback
Thomas Mbrice, Ammar Ali, Sami Mian +5
cs.LGarXiv:2608.16710v12026
AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?
Zhangchen Xu, Junda Chen, Yue Huang +16
cs.AIcs.LGarXiv:2606.05080v12026
CrevasseSeg: A Label-Efficient UAV Crevasse Segmentation Framework
Steven Wallace, William D. Harcourt, Richard Hann +3
cs.LGarXiv:2608.15790v22026
SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference
Yaosheng Fu, Guangxuan Xiao, Xin Dong +2
cs.CLcs.LGarXiv:2606.04511v12026
RoPE Distinguishes Neither Positions Nor Tokens in Long Contexts, Provably
Yufeng Du, Phillip Harris, Minyang Tian +5
cs.CLcs.AIcs.LGarXiv:2605.15514v12026
HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents
Woongyeng Yeo, Yumin Choi, Taekyung Ki +1
cs.LGcs.AIcs.CLarXiv:2605.17873v12026
Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
Tal Ellinson, Hadi Mohasel Afshar, Sally Cripps
stat.MLcs.LGarXiv:2608.16689v12026
DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning
Guochao Jiang, Jingyi Song, Guofeng Quan +3
cs.CLcs.LGarXiv:2605.25604v12026
Convolution-Free Holistic Multivariance Decomposition Layer for Efficient Hyperspectral Image Classification Tensor Networks
Süha Tuna, Ülker Başar
cs.CVcs.LGmath.OCarXiv:2608.16241v12026
Variational Outlier-Robust Gaussian Process Regression with Generative Modeling
Arslan Majal, Aamir Hussain Chughtai
cs.LGarXiv:2608.16606v12026
TRACE-CASH: Trial-History-Conditioned Reinforcement Learning for Adaptive Configuration Exploration in Time-Series CASH
Yu-Han Huang, Yujia Wu, Vincent S. Tseng
cs.LGarXiv:2608.16410v12026
PhoneWorld: Scaling Phone-Use Agent Environments
Yuxuan Liu, Xin Lai, Junyi Li +21
cs.CLcs.AIcs.LGarXiv:2605.29486v22026
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
Tianyi Zhou, Dongrui Liu, Leitao Yuan +2
cs.AIcs.CLcs.LGarXiv:2605.31264v12026
Efficient Coreset Selection via K-Nearest Neighbor Graphs
Yingfan Liu, Leiyu Zhang, Jiadong Xie +3
cs.LGarXiv:2608.16270v12026
Automating Learner Assessment: Benchmarking Machine Learning and Deep Learning Models for EEG-Based Familiarity Prediction
Isuru Nanayakkara, Thilina Halloluwa
eess.SPcs.HCcs.LGarXiv:2608.16541v12026
NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption
Ziluowen Luo, Jun Yin, Ruochen Liu +4
cs.LGcs.AIarXiv:2608.16038v22026

Machine Learning

Feasible and Novel Synthetic Population Generation with Tabular and Sequential Travel Attributes

DeltaLog: Deferred Materialization of Recurrent States for Linear Attention Decoding

UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity

Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation

ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models

Co-Evolving Policy Distillation

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

Flash-WAM: Modality-Aware Distillation for World Action Models

Adding Voice Cloning to Text-to-Audio-Video Models with a Single Zero-Initialised Layer

ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs

POI Recommendation with LLM-Augmented Multi-Graph Learning and Contrastive Alignment

FETERS: Few-Shot Early Time-Series Classification via Effective Ratio Selection

Conditional Evaluation of Language Models with Cheap Auxiliary Signals

Meta-CoT: Enhancing Granularity and Generalization in Image Editing

Retrieval-guided Twin Fusion with Similarity-aware Contrast for Molecule-Text Alignment

Integrating Persuasion Theory into the Epidemiological Modelling of Health Misinformation Spread on Social Media

Amortised Post-Hoc Explanation with Exact Preservation for Dynamic Graph Anomaly Detectors

Understanding and Stabilizing Deep Q-Learning via Controlled Bootstrapping and Regulated Value Dynamics

Protein Structure Prediction: From Evolutionary Constraints to Generative Modeling

BERTopic-Virality Prioritisation: A Scalable Framework for Thematic and Comparative Analysis of COVID-19 and Monkeypox Misinformation on Twitter

ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction

Learning Auditable Classifier Models: Source-Disjoint Tree Ensembles

Sequential Multimodal Evidence Optimization for Product Media Ranking in E-Commerce

zLend: A Dual-Scope Cash-Flow Reconstruction Framework for On-Chain Credit Underwriting

LaGSplat: Inferring Physics-Governed Interactive Simulation from Monocular Video Using Latent Lagrangian Gaussian Splatting

Self-Supervised Noise2Noise-Enhanced Denoising for Continuous-Scan Air-Plasma THz Spectroscopy

QSMP: finding representative time series subsequences through Quick Shift+Matrix Profile

In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

The canonical facets of multi-separator polytopes

Beyond $L_2$: Generalizing Abductive Latent Explanations to Diverse Prototype-Based Architectures

Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference

AMPLIFAI: A Multiphase CT Dataset for Benchmarking Clinical Reasoning in LI-RADS Assessment of Liver Lesions

Learning from Language Feedback via Variational Policy Distillation

Graph Machine Learning: An Opportunity for Power Systems

RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection

GEO-Flag: Detecting and Measuring GEO-Optimized Web Content

SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning

Delta Attention Residuals

Time-Aware Validation of Machine Learning Fuel Consumption Models: Evidence from 1\,Hz Operational Data, CCGS \textit{Sir Wilfrid Laurier}

Towards Reasonable Molecular Structure Elucidation from Infrared Spectroscopy with Chemical Feedback

The Ethical Decision Head: Operationalizing Normative Ethics in Autonomous Vehicles via Reinforcement Learning from Human Feedback

AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?

CrevasseSeg: A Label-Efficient UAV Crevasse Segmentation Framework

SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference

RoPE Distinguishes Neither Positions Nor Tokens in Long Contexts, Provably

HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents

Hide&Seek: Learning to Explain in an End-to-End Differentiable Network

DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning

Convolution-Free Holistic Multivariance Decomposition Layer for Efficient Hyperspectral Image Classification Tensor Networks

Variational Outlier-Robust Gaussian Process Regression with Generative Modeling

TRACE-CASH: Trial-History-Conditioned Reinforcement Learning for Adaptive Configuration Exploration in Time-Series CASH

PhoneWorld: Scaling Phone-Use Agent Environments

COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

Efficient Coreset Selection via K-Nearest Neighbor Graphs

Automating Learner Assessment: Benchmarking Machine Learning and Deep Learning Models for EEG-Based Familiarity Prediction

NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption