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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1,381 to 1,440 of 20,199

Sequence-Informed Geometric Evaluation of RNA 3D Structures
Andrea Zerio, Yighua Yao, Alessandro Micheli +5
q-bio.BMcs.LGarXiv:2609.10644v12026
Understanding In-Context Multimodal Jailbreaks via Posterior Reweighting
Xu Zhang, Dev Mistry, Xiang Xu +1
cs.CRcs.LGarXiv:2609.10613v12026
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
Seo Hyun Kim, Sunwoo Hong, Hojung Jung +2
cs.LGarXiv:2511.05664v22025
From Cycle Space to Cycle Manifold: Limits and Achievability of Blind False Data Injection Attacks
Xin Li, Chenhan Xiao, Jonathan Cohen +3
cs.CRcs.LGarXiv:2609.10631v12026
Numbat: Building and Verifying a Self-Contained Machine-Learning Stack
Thang Tran, Lan Dang
cs.SEcs.LGarXiv:2609.10632v12026
SoK: Privacy Attacks on Machine Learning via Explainable AI
Abdullah Caglar Oksuz, Anisa Halimi, Erman Ayday
cs.CRcs.LGarXiv:2609.10627v12026
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
Shiwei Liu, Lu Yin, Decebal Constantin Mocanu +1
cs.LGcs.AIcs.CVarXiv:2102.02887v32021
PEARL: A Task-Aware Framework for Evaluating Differentially Private Synthetic Educational Data
Xianghui Meng, Yujing Zhang, Jionghao Lin
cs.CRcs.LGarXiv:2609.10612v12026
On the Relation between Code Quality and Machine Learning Performance: A Large-scale Empirical Study
Marius Mignard, Steven Costiou, Anne Etien
cs.SEcs.LGarXiv:2609.10610v12026
Adaptive Diffusion Freezing: Privacy-preserving Diffusion Models Against Membership Inference Attacks
Jialu Guo, Xiao Han, Junjie Wu
cs.CRcs.LGarXiv:2609.10608v12026
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Zhiyuan Huang, Jiahao Chen, Bing Su
cs.LGcs.CVarXiv:2509.09926v52025
Black-Box Membership Inference via Word-Level Probability Estimation
Shengjie Niu, Yeheng Ge, Jian Huang
cs.CRcs.LGstat.MLarXiv:2609.10611v12026
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Chi Jin, Qinghua Liu, Yuanhao Wang +1
cs.LGcs.AIcs.GTarXiv:2110.14555v12021
An Empirical Measurement of Jailbreaking Evaluators
Yujie Mu
cs.CRcs.LGarXiv:2609.10594v12026
A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway
Siyan Chen, Lars Uebbing, Eirik Mikal Samuelsen +5
physics.ao-phcs.LGarXiv:2609.10564v12026
Summaries:한국어
Supply Chain Analytics: A Data-Driven Approach
Elioth Sanabria
math.OCcs.LGstat.MLarXiv:2609.10563v12026
Summaries:한국어
EVTradeMatch: A Mobility-Aware Multi-Objective Matching Framework for EV--EV Energy Trading
Md. Mahfujur Rahman, Alistair Barros, Raja Jurdak +1
math.OCcs.LGeess.SYarXiv:2609.10551v12026
Rethinking Differentiable Search for Mixed-Precision Neural Networks
Zhaowei Cai, Nuno Vasconcelos
cs.LGcs.CVcs.NEarXiv:2004.05795v12020
A General End-to-end Diagnosis Framework for Manufacturing Systems
Ye Yuan, Guijun Ma, Cheng Cheng +4
cs.LGeess.SPstat.MLarXiv:1901.02057v22018
Optimizing AI Inference Across the Deployment Stack
Tejinder Singh, John Pflueger, Jeebak Mitra +3
cs.SEcs.LGarXiv:2609.10550v12026
General Quantification of Covariate and Concept Shifts
Hongbo Chen, Li Charlie Xia
cs.LGcs.AIstat.MLarXiv:2609.11918v12026
On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network
Yuanhang Su, C. -C. Jay Kuo
cs.LGcs.CLcs.NEarXiv:1803.01686v52018
JetFormer: A Scalable and Efficient Transformer for Jet Tagging from Offline Analysis to FPGA Triggers
Ruoqing Zheng, Chang Sun, Qibin Liu +7
cs.LGhep-exarXiv:2601.17215v12026
Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model
Danial Mohammadzadeh, Seyed-Farzan Kazemi, Amir Mosavi +2
stat.APcs.LGcs.NEarXiv:1907.04913v12019
From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good
Nitesh V. Chawla, Paulo Benanti
cs.LGarXiv:2609.11910v12026
Simulation-based reinforcement learning for real-world autonomous driving
Błażej Osiński, Adam Jakubowski, Piotr Miłoś +4
cs.LGcs.AIcs.ROarXiv:1911.12905v42019
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
Sai Munikoti, Deepesh Agarwal, Laya Das +2
cs.LGarXiv:2206.07922v22022
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback
Balázs Hidasi, Domonkos Tikk
cs.LGcs.IRmath.NAarXiv:1204.1259v22012
TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription
Akshaj Gupta, Hwi Joo Park, Andrea Guzman +5
cs.LGarXiv:2609.11904v12026
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach
Chenxi Lin, Liheng Zhong, Xiao-Peng Song +3
cs.CVcs.LGarXiv:2110.10275v12021
Typilus: Neural Type Hints
Miltiadis Allamanis, Earl T. Barr, Soline Ducousso +1
cs.PLcs.LGstat.MLarXiv:2004.10657v12020
MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning
Akshay Mhatre, Vikram Karthick, Deepti Gupta +1
cs.DCcs.LGarXiv:2609.10545v12026
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
Ali Hamdi, Khaled Shaban, Abdelkarim Erradi +3
cs.LGcs.DBarXiv:2103.17128v12021
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans +1
cs.ROcs.AIcs.CVarXiv:2203.13251v12022
GLocalX -- From Local to Global Explanations of Black Box AI Models
Mattia Setzu, Riccardo Guidotti, Anna Monreale +3
cs.LGcs.AIarXiv:2101.07685v22021
CausalArena: Benchmarking Causal Discovery in the Foundation Model Era
Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1
cs.LGarXiv:2609.11897v12026
CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search
Yifan Yang, Zhaoyan Wang, Zheng Gao +2
cs.LGcs.CVarXiv:2609.11884v12026
Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
Anas Jnini, Elham Kiyani, Khemraj Shukla +5
cs.LGcs.AImath.NAarXiv:2604.05230v12026
Thinking with Looped Flows
Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom +3
cs.LGcs.AIarXiv:2609.11801v12026
AdamX: Cosine similarity meets gradient descent
Francisco Caldas, Ruben Belo, Cláudia Soares
cs.LGmath.OCarXiv:2609.11867v12026
AI Poincaré: Machine Learning Conservation Laws from Trajectories
Ziming Liu, Max Tegmark
cs.LGastro-ph.EPnlin.SIarXiv:2011.04698v22020
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Kyungeun Lee, Wonjong Rhee
cs.LGeess.SParXiv:1905.12256v32019
Learnware and AI Model Management System
Zhi-Hua Zhou
cs.LGarXiv:2609.11656v12026
Practical Blind Membership Inference Attack via Differential Comparisons
Bo Hui, Yuchen Yang, Haolin Yuan +3
cs.CRcs.LGarXiv:2101.01341v22021
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang, Chaowei Xiao, Jean Kossaifi +3
cs.CVcs.LGarXiv:2110.13771v32021
What Formal Languages Can Transformers Express? A Survey
Lena Strobl, William Merrill, Gail Weiss +2
cs.LGcs.CLcs.FLarXiv:2311.00208v32023
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai +2
cs.LGstat.MLarXiv:1603.03130v32016
Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport
Luyi Jia, Boyan Zhang, Yilun Liu +1
cs.LGcs.AIarXiv:2609.11842v12026
DeepQA: Improving the estimation of single protein model quality with deep belief networks
Renzhi Cao, Debswapna Bhattacharya, Jie Hou +1
cs.AIcs.LGq-bio.QMarXiv:1607.04379v12016
Dynamic language model representations for multi-objective reaction optimisation
Joshua W. Sin, David Ming Segura, Bojana Ranković +8
cs.LGarXiv:2609.11790v12026
The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
Jeremy Herbst, Stefan Wermter, Jae Hee Lee
cs.CLcs.AIcs.LGarXiv:2604.02178v22026
Bayesian Learning for Neural Networks: an algorithmic survey
Martin Magris, Alexandros Iosifidis
stat.MLcs.LGarXiv:2211.11865v42022
Predicting Privacy Leakage from Weight Spectral Density
Richard J. Preen, Jim Smith
cs.LGcs.CRcs.NEarXiv:2609.11780v12026
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai, Yuyuan Zeng, Yong Jiang +3
cs.LGarXiv:2103.08307v22021
Musec: MomentUm SpEctral Clipping for Stable Muon-type Training
Zhuanghua Liu, Menglian Wang, Luo Luo
cs.LGarXiv:2609.11655v12026
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu +2
cs.LGcs.AIstat.MLarXiv:2008.02663v12020
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi +3
cs.LGcs.CCarXiv:2101.09336v12021
RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation
Ramiro Valdes Jara, David Chapman, Adam Meyers
cs.LGstat.MLarXiv:2609.11648v12026
Observational Overfitting in Reinforcement Learning
Xingyou Song, Yiding Jiang, Stephen Tu +2
cs.LGcs.AIstat.MLarXiv:1912.02975v22019
LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics
Mariia Baranova, Adrien Petralia, Etienne Le Naour +3
cs.LGcs.AIeess.SParXiv:2609.11639v12026

Machine Learning

Sequence-Informed Geometric Evaluation of RNA 3D Structures

Understanding In-Context Multimodal Jailbreaks via Posterior Reweighting

KLASS: KL-Guided Fast Inference in Masked Diffusion Models

From Cycle Space to Cycle Manifold: Limits and Achievability of Blind False Data Injection Attacks

Numbat: Building and Verifying a Self-Contained Machine-Learning Stack

SoK: Privacy Attacks on Machine Learning via Explainable AI

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

PEARL: A Task-Aware Framework for Evaluating Differentially Private Synthetic Educational Data

On the Relation between Code Quality and Machine Learning Performance: A Large-scale Empirical Study

Adaptive Diffusion Freezing: Privacy-preserving Diffusion Models Against Membership Inference Attacks

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios

Black-Box Membership Inference via Word-Level Probability Estimation

V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL

An Empirical Measurement of Jailbreaking Evaluators

A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway

Supply Chain Analytics: A Data-Driven Approach

EVTradeMatch: A Mobility-Aware Multi-Objective Matching Framework for EV--EV Energy Trading

Rethinking Differentiable Search for Mixed-Precision Neural Networks

A General End-to-end Diagnosis Framework for Manufacturing Systems

Optimizing AI Inference Across the Deployment Stack

General Quantification of Covariate and Concept Shifts

On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network

JetFormer: A Scalable and Efficient Transformer for Jet Tagging from Offline Analysis to FPGA Triggers

Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model

From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good

Simulation-based reinforcement learning for real-world autonomous driving

Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications

Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback

TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription

Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach

Typilus: Neural Type Hints

MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning

Spatiotemporal Data Mining: A Survey on Challenges and Open Problems

Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation

GLocalX -- From Local to Global Explanations of Black Box AI Models

CausalArena: Benchmarking Causal Discovery in the Foundation Model Era

CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

Thinking with Looped Flows

AdamX: Cosine similarity meets gradient descent

AI Poincaré: Machine Learning Conservation Laws from Trajectories

DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting

Learnware and AI Model Management System

Practical Blind Membership Inference Attack via Differential Comparisons

AugMax: Adversarial Composition of Random Augmentations for Robust Training

What Formal Languages Can Transformers Express? A Survey

Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning

Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport

DeepQA: Improving the estimation of single protein model quality with deep belief networks

Dynamic language model representations for multi-objective reaction optimisation

The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level

Bayesian Learning for Neural Networks: an algorithmic survey

Predicting Privacy Leakage from Weight Spectral Density

Improving Adversarial Robustness via Channel-wise Activation Suppressing

Musec: MomentUm SpEctral Clipping for Stable Muon-type Training

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation

Observational Overfitting in Reinforcement Learning

LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics