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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17,881 to 17,940 of 20,193

Primal Acceleration of Newton's Method
Nikita Doikov
math.OCcs.AIcs.LGarXiv:2608.21359v12026
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao, Thomas Kipf
stat.MLcs.LGarXiv:1805.11973v22018
AgentDecarbonizer: Carbon-Aware Execution for AI Agents
Leyi Yan, Shuangning Li, Sihang Liu
cs.LGarXiv:2608.20566v12026
Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting
Behnam Omidi, Ahmad Tahmasivand, Husam Alsyouri +4
cs.LGcs.ARcs.CRarXiv:2608.20572v12026
Learning Exact NVIDIA SASS Encoders with $\mathbb{F}_2$ Linear Algebra
Jiading Gai
cs.LGarXiv:2608.20532v12026
Metag: A dataset to build agentic meta-reviewing capabilities
Anirudh Sundar, Min Chen, Divya Tadimeti +11
cs.LGarXiv:2608.20488v12026
When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification
Julian Asilis, Shaddin Dughmi, Chirag Pabbaraju
cs.LGstat.MLarXiv:2608.20480v12026
Amortized Bandwidth Learning for Kernel Density Estimation under Logarithmic Score
Junyi Liang, Hailiang Du
cs.LGarXiv:2608.20445v12026
Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study
Nestor Barraza, Sergio Moro, Marcelo Ferreyra +1
cs.LGmath.PRarXiv:2608.20447v12026
Wrong-Physics Backdoors in Neural PDE Operators
Hanbing Liang, Fujun Liu
cs.LGphysics.comp-pharXiv:2608.20439v12026
Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study
Yushu Zou, Ye Li, Johra Moosa +3
cs.LGstat.AParXiv:2608.20406v12026
SAC-Copula: Quality-Preserving Watermarking for Diffusion Language Models via Smooth Correlated Gumbel Fields
Baixin Li, Haiyun He
cs.CLcs.CRcs.LGarXiv:2608.20839v12026
MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees
John Cadigan, Dayne Freitag, Eric Yeh
cs.CLcs.LGarXiv:2608.20636v12026
Multilingual Verifier Bias in RLVR: Benchmark, Rollout Diagnosis, and the Cross-Lingual Selection Bottleneck
Chenyu Zhou, Qiliang Jiang, Xu Zhou
cs.CLcs.LGarXiv:2608.20362v12026
TriPLU: Bypassing the Gate with Direct Trilinear Product FFNs in Tiny Language Models
He Zhang
cs.CLcs.LGarXiv:2608.20360v12026
TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
Vladimir Bataev, Lilit Grigoryan, Andrei Andrusenko +3
eess.AScs.AIcs.CLarXiv:2608.21343v12026
Jacobian-guided Noise Injection for Quantization Robustness in Large Language Models
Deepanshu Pandey, Arnav Chavan, Nahush Lele +2
cs.LGcs.AIarXiv:2608.20988v12026
Quantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMs
Bakbergen Ryskulov, Iker García-Ferrero, David Montero +5
cs.CLcs.AIcs.LGarXiv:2608.20953v12026
Fuzzy-MoE: Interpretable Regime-Conditioned Expert Routing for Non-Stationary Multivariate Time Series Forecasting
Lan Guo, Jie Xiao, Zhao Su +5
cs.LGcs.AIarXiv:2608.20761v12026
PSK at WMT 2026 MIST: Task-Specialized QLoRA Adapters for Multilingual Summarization and Question Answering
Srikar Kashyap Pulipaka
cs.CLcs.AIcs.LGarXiv:2608.20757v12026
Temporal Validity on Real Software Histories: Eliminating Stale-Fact Errors in Code-Assistant Memory over GitHub Fixes
Neeraj Yadav
cs.SEcs.AIcs.CLarXiv:2608.20685v12026
No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
Dimitri Staufer, David Hartmann, Ibrahim Baroud
cs.CLcs.AIcs.LGarXiv:2608.21206v12026
Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness
Yu-Chao Huang, Haochen Zhang, Nicholas Konz +1
cs.LGcs.AIarXiv:2608.21207v12026
TracingFlow: A Simulation-Free Trajectory Inference Framework Based on Second-Order Dynamics
Yuhao Sun, Zekun Wu, Zixun Huang +1
cs.LGcs.AIq-bio.GNarXiv:2608.21070v12026
Scaling Muon for Diffusion Transformers
Chenghao Li, Xiao Han, Xinxin Huang +22
cs.LGcs.AIcs.CVarXiv:2608.20818v12026
Lightweight Adaptive ReduNet via Hyperspherical Manifold Learning
Zhenglin Huang, Qifa Yan, Bin Dai +1
cs.LGcs.AIarXiv:2608.20668v12026
Beyond English-Centric Multilingual Machine Translation
Angela Fan, Shruti Bhosale, Holger Schwenk +14
cs.CLcs.LGarXiv:2010.11125v12020
JuryProbe: An Empirical Consensus-Risk Diagnostic for Routing Reference-Free Factuality Judge Panels to Grounded Verification
Tianxin Zhou, Ruixi Lin
cs.CLcs.AIcs.LGarXiv:2608.20607v12026
MaxViT: Multi-Axis Vision Transformer
Zhengzhong Tu, Hossein Talebi, Han Zhang +4
cs.CVcs.AIcs.LGarXiv:2204.01697v42022
BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers
Hina Dixit
cs.LGcs.AIarXiv:2608.20427v12026
From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing
Isibor Kennedy Ihianle, Emmanuel Manu, Ehsan Asnaashari +4
cs.LGcs.AIarXiv:2608.20423v12026
Rigorous Evaluation of Large Language Models for Malaria Drug Discovery: Trade-offs in Performance, Scale, and Resource Utility
Marvellous O. Ajala, Zainab Ashimiyu-Abdusalam, Comfort Adesina
q-bio.QMcs.AIcs.LGarXiv:2608.20418v12026
Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI
Sai Teja Erukude, Lior Shamir
astro-ph.IMastro-ph.GAcs.AIarXiv:2608.20666v12026
C-Score: Beyond Accuracy for Robustness Assessment in Semi-Supervised Learning under Open-World Unlabeled Contamination
Tsao-Lun Chen, Chi-Cheng Fu, Han-Yi E. Chou +1
cs.LGcs.AIarXiv:2608.20667v12026
Describing Videos by Exploiting Temporal Structure
Li Yao, Atousa Torabi, Kyunghyun Cho +4
stat.MLcs.AIcs.CLarXiv:1502.08029v52015
Learned Step Size Quantization
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani +2
cs.LGstat.MLarXiv:1902.08153v32019
Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising
Merve Gülle, Junno Yun, Yaşar Utku Alçalar +1
eess.IVcs.AIcs.CVarXiv:2608.20561v12026
Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach
Amrita Shaw, Chandrasekar S. N., Sai Muthukumar V. +2
cs.LGcs.AIarXiv:2608.20440v12026
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott Reed, Honglak Lee, Dragomir Anguelov +3
cs.CVcs.LGcs.NEarXiv:1412.6596v32014
Approximate Homomorphisms and Convergent Representations in Transducers
Santiago Cifuentes
cs.LGcs.AIarXiv:2608.20428v12026
Simplified State Space Layers for Sequence Modeling
Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
cs.LGarXiv:2208.04933v32022
VA-DPO: Valence-Arousal Direct Preference Optimization for Controllable Emotion Generation in Language Models
Hyunwoo Kim
cs.CLcs.AIcs.LGarXiv:2608.20374v12026
EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking
Enjun Du, Siyi Liu, Zirong Chen +8
cs.CVcs.LGarXiv:2608.20886v12026
Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts
Nayeon Kim, Hojin Lee, Yunju Bak +2
cs.LGcs.AIcs.CLarXiv:2608.20061v12026
Are GANs Created Equal? A Large-Scale Study
Mario Lucic, Karol Kurach, Marcin Michalski +2
stat.MLcs.LGarXiv:1711.10337v42017
ReCurveflow: A Flow Matching Framework that Learns Curved Reaction Trajectories to Predict Transition State Geometries
Seungheun Baek, Mogan Gim, Jaewoo Kang
cs.AIcs.LGarXiv:2608.20869v12026
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle +1
cs.CVcs.LGeess.IVarXiv:1912.07372v22019
Summaries:한국어
NeuroStrata: An Electroencephalographic Connectivity-Aware Deep Representation Learning Framework for Dynamic Brain Network Analysis of Mental Stress
Sayantan Acharya, Hamzeh Asgharnezhad, Abbas Khosravi +3
q-bio.NCcs.AIcs.LGarXiv:2608.20354v12026
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao +4
cs.IRcs.AIcs.LGarXiv:1810.11921v22018
Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1605.07157v42016
Personalized Privacy Control in LLMs via Attention Head Intervention
Junseok Kim, Nakyeong Yang, Kyomin Jung
cs.AIcs.CLcs.LGarXiv:2608.21209v12026
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster, François Petitjean, Geoffrey I. Webb
cs.LGstat.MLarXiv:1910.13051v12019
TreeWY: Speculative Verification for Gated DeltaNet Hybrids
Sneha Murthy Ghantasala
cs.AIcs.CLcs.DCarXiv:2608.20961v12026
Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context
Utsav Poudel, Jagannath Aryal, Subramaniyaswamy Vairavasundaram
cs.AIcs.HCcs.LGarXiv:2608.20807v12026
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
stat.MLcs.CVcs.LGarXiv:2007.03898v32020
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou +1
cs.CVcs.LGeess.IVarXiv:1911.10150v22019
Dual-Cache Latent Space Communication between Heterogeneous Language Models
Jiyao Liu, Qi Zhang, Yaoyi Jia +2
cs.AIcs.LGarXiv:2608.20617v12026
Deep Graph Contrastive Representation Learning
Yanqiao Zhu, Yichen Xu, Feng Yu +3
cs.LGstat.MLarXiv:2006.04131v22020
Multimodal Learning with Transformers: A Survey
Peng Xu, Xiatian Zhu, David A. Clifton
cs.CVcs.LGarXiv:2206.06488v22022

Machine Learning

Primal Acceleration of Newton's Method

MolGAN: An implicit generative model for small molecular graphs

AgentDecarbonizer: Carbon-Aware Execution for AI Agents

Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting

Learning Exact NVIDIA SASS Encoders with $\mathbb{F}_2$ Linear Algebra

Metag: A dataset to build agentic meta-reviewing capabilities

When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification

Amortized Bandwidth Learning for Kernel Density Estimation under Logarithmic Score

Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study

Wrong-Physics Backdoors in Neural PDE Operators

Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study

SAC-Copula: Quality-Preserving Watermarking for Diffusion Language Models via Smooth Correlated Gumbel Fields

MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees

Multilingual Verifier Bias in RLVR: Benchmark, Rollout Diagnosis, and the Cross-Lingual Selection Bottleneck

TriPLU: Bypassing the Gate with Direct Trilinear Product FFNs in Tiny Language Models

TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems

Jacobian-guided Noise Injection for Quantization Robustness in Large Language Models

Quantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMs

Fuzzy-MoE: Interpretable Regime-Conditioned Expert Routing for Non-Stationary Multivariate Time Series Forecasting

PSK at WMT 2026 MIST: Task-Specialized QLoRA Adapters for Multilingual Summarization and Question Answering

Temporal Validity on Real Software Histories: Eliminating Stale-Fact Errors in Code-Assistant Memory over GitHub Fixes

No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation

Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness

TracingFlow: A Simulation-Free Trajectory Inference Framework Based on Second-Order Dynamics

Scaling Muon for Diffusion Transformers

Lightweight Adaptive ReduNet via Hyperspherical Manifold Learning

Beyond English-Centric Multilingual Machine Translation

JuryProbe: An Empirical Consensus-Risk Diagnostic for Routing Reference-Free Factuality Judge Panels to Grounded Verification

MaxViT: Multi-Axis Vision Transformer

BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers

From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing

Rigorous Evaluation of Large Language Models for Malaria Drug Discovery: Trade-offs in Performance, Scale, and Resource Utility

Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI

C-Score: Beyond Accuracy for Robustness Assessment in Semi-Supervised Learning under Open-World Unlabeled Contamination

Describing Videos by Exploiting Temporal Structure

Learned Step Size Quantization

Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising

Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach

Training Deep Neural Networks on Noisy Labels with Bootstrapping

Approximate Homomorphisms and Convergent Representations in Transducers

Simplified State Space Layers for Sequence Modeling

VA-DPO: Valence-Arousal Direct Preference Optimization for Controllable Emotion Generation in Language Models

EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking

Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts

Are GANs Created Equal? A Large-Scale Study

ReCurveflow: A Flow Matching Framework that Learns Curved Reaction Trajectories to Predict Transition State Geometries

Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision

NeuroStrata: An Electroencephalographic Connectivity-Aware Deep Representation Learning Framework for Dynamic Brain Network Analysis of Mental Stress

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

Resnet in Resnet: Generalizing Residual Architectures

Unsupervised Learning for Physical Interaction through Video Prediction

Personalized Privacy Control in LLMs via Attention Head Intervention

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

TreeWY: Speculative Verification for Gated DeltaNet Hybrids

Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context

NVAE: A Deep Hierarchical Variational Autoencoder

PointPainting: Sequential Fusion for 3D Object Detection

Dual-Cache Latent Space Communication between Heterogeneous Language Models

Deep Graph Contrastive Representation Learning

Multimodal Learning with Transformers: A Survey