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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15,241 to 15,300 of 20,192

Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research
Varun Kumar Ojha, Ajith Abraham, Václav Snášel
cs.NEcs.LGarXiv:1705.05584v12017
Modality Contribution Score - A Per-Patient Framework for Quantifying the Relative Diagnostic Contribution of Structural MRI and Amyloid PET in Alzheimer's Disease
Dawa Chyophel Lepcha, Aaliya Ali, Sophie A. Martin +3
eess.IVcs.AIcs.CVarXiv:2608.24931v12026
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro +1
cs.LGstat.MLarXiv:1909.12475v22019
Learning to Generate Reviews and Discovering Sentiment
Alec Radford, Rafal Jozefowicz, Ilya Sutskever
cs.LGcs.CLcs.NEarXiv:1704.01444v22017
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen, Dingshuo Chen, Xiao Zhang +2
cs.LGcs.CReess.SYarXiv:2104.03466v32021
Towards a Definition of Disentangled Representations
Irina Higgins, David Amos, David Pfau +4
cs.LGstat.MLarXiv:1812.02230v12018
On the Representational Geometry of Dynamic Programs
Richard F. M. Lim, Ruriko Yoshida
cs.LGcs.DMmath.AGarXiv:2608.25034v12026
Learning Mixtures of Plackett-Luce Models for Multi-Objective Alignment
Dongyue Li, Ziniu Zhang, Lu Wang +1
cs.LGcs.AIcs.CLarXiv:2608.25200v12026
(Mis)Understanding Benign Overfitting in Equity Return Prediction
Hui Guo, Jiawei Huang, Runze Li +1
stat.MLcs.LGstat.AParXiv:2608.23761v12026
Hyperbolic Latent Geometry for Tree-Structured Prototype Networks: A Local-vs-Global Trade-off
Peter Flo, Luca Grossmann
cs.LGcs.AIarXiv:2608.25199v12026
Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning
Srivalli Katkuri, Maxwell Kawada, Juan Wachs
cs.LGcs.ROarXiv:2608.25350v12026
The Frame Kernel Method for Multiscale Operator Learning
Branden Frieden, Ryan Whitehead, M. Keith Ballard +2
cs.LGmath.NAarXiv:2608.25084v12026
Hyena Hierarchy: Towards Larger Convolutional Language Models
Michael Poli, Stefano Massaroli, Eric Nguyen +6
cs.LGcs.CLarXiv:2302.10866v32023
Machine Learning Methods for Attack Detection in the Smart Grid
Mete Ozay, Inaki Esnaola, Fatos T. Yarman Vural +2
cs.LGcs.CReess.SYarXiv:1503.06468v12015
What Regularized Auto-Encoders Learn from the Data Generating Distribution
Guillaume Alain, Yoshua Bengio
cs.LGstat.MLarXiv:1211.4246v52012
Demystifying Reinforcement Learning Post-Training of Language Models
Donovan Clay, Saket Gollapudi, Sankar Harilal +4
cs.LGcs.AIcs.CLarXiv:2608.24949v12026
Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation
Minh Tran, Cuong Dang, Tuc Nguyen +9
cs.CRcs.CLcs.LGarXiv:2608.24977v12026
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
Nils Thuerey, Konstantin Weissenow, Lukas Prantl +1
cs.LGphysics.flu-dynstat.MLarXiv:1810.08217v32018
Modulating early visual processing by language
Harm de Vries, Florian Strub, Jérémie Mary +3
cs.CVcs.CLcs.LGarXiv:1707.00683v32017
Clustering Algorithms: A Comparative Approach
Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova +4
cs.LGstat.MLarXiv:1612.08388v12016
Physics-Informed Foresight Pruning for Sparse PINN Solvers of Nonlinear PDEs
Ahmad Ishaque Karimi, Uvini Balasuriya Mudiyanselage, Kookjin Lee
cs.LGcs.AIarXiv:2608.25564v12026
Two Dimensions Govern Agnostic Multiclass Transductive Learning
Pahan Dewasurendra
cs.LGarXiv:2608.25326v12026
Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang +2
cs.LGcs.CLstat.MLarXiv:1911.07013v12019
Item2Vec: Neural Item Embedding for Collaborative Filtering
Oren Barkan, Noam Koenigstein
cs.LGcs.AIcs.IRarXiv:1603.04259v32016
Why and When Neural Networks Improve Local Approximation in Optimization
Chengkuo Bian, Pengcheng Xie
cs.LGmath.OCarXiv:2608.24963v12026
Unprocessing Images for Learned Raw Denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue +3
cs.CVcs.LGarXiv:1811.11127v12018
Physics-Integrated Operator Learning via Gaussian Splatting Representations
Jihao Zhang, Junyi Guo, Jian-Xun Wang
cs.LGarXiv:2608.24049v12026
DayDreamer: World Models for Physical Robot Learning
Philipp Wu, Alejandro Escontrela, Danijar Hafner +2
cs.ROcs.AIcs.LGarXiv:2206.14176v12022
Threats to Federated Learning: A Survey
Lingjuan Lyu, Han Yu, Qiang Yang
cs.CRcs.LGstat.MLarXiv:2003.02133v12020
Score-Based Ideal Observer Approximation via Denoising Score Matching for Signal-Known-Exactly Detection Tasks
Weimin Zhou
eess.IVcs.AIcs.CVarXiv:2608.24768v12026
Optimal approximation of piecewise smooth functions using deep ReLU neural networks
Philipp Petersen, Felix Voigtlaender
math.FAcs.LGstat.MLarXiv:1709.05289v42017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
cs.LGcs.AIcs.CVarXiv:1705.08475v22017
NVExplain: Explaining Time Series Forecasting with Latent Trajectory Analysis and Structure-Preserving Surrogates
Muyan Anna Li, Manikandan Ravikiran, Aditi Gautam
cs.LGcs.AIstat.MLarXiv:2608.25080v12026
On-line Building Energy Optimization using Deep Reinforcement Learning
Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen +4
cs.LGcs.AImath.OCarXiv:1707.05878v12017
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8
eess.AScs.CRcs.LGarXiv:2109.00537v12021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Markus Freitag, George Foster, David Grangier +3
cs.CLcs.AIcs.LGarXiv:2104.14478v12021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
stat.MLcs.LGarXiv:2010.09337v12020
LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
Francesco Mantegna, Dulhan Jayalath, Gereon Elvers +12
cs.LGcs.CLarXiv:2608.25204v12026
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael M. Bronstein, Xavier Bresson
cs.LGcs.IRmath.NAarXiv:1704.06803v12017
Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
Zuobin Xiong, Deval Mukherjee, Homook Cho +1
cs.LGcs.CRarXiv:2608.25133v12026
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
Ruihan Liu, Yu Ji, Jianbo Yu +2
cs.LGcs.AIarXiv:2608.24386v12026
SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning
Hao Wu, Kin Whye Chew, Yizhan Han +2
cs.DCcs.LGarXiv:2608.24516v12026
Quantum machine learning: a classical perspective
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo +4
quant-phcs.LGstat.MLarXiv:1707.08561v32017
Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning
Madelaine Martinez-Ferguson, Chun Wang, Mustafa Can Camur +1
cs.ETcs.LGarXiv:2608.25193v12026
Tensor2Tensor for Neural Machine Translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo +10
cs.LGcs.CLstat.MLarXiv:1803.07416v12018
Transforms for LLM Quantization: The Great Inversion and Format Co-Design
Ehsan Jokar
cs.LGcs.ITarXiv:2608.25188v12026
Simultaneous inference of environmental and interaction forces in collective dynamics
Nipuni de Silva, Ming Zhong, James M. Greene
cs.LGmath.DSarXiv:2608.25181v12026
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou +1
cs.LGcs.SIstat.MLarXiv:2006.09252v32020
Understanding the Energy Scaling of Large Language Model Inference Across Context Lengths and Attention Architectures
Molka Chkir, Syed Muhammad Danish, Jos Höll +1
cs.LGcs.AIarXiv:2608.25096v12026
AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions
Manmeet Singh, Somnath Luitel, Prabhjot Singh +3
cs.LGphysics.ao-pharXiv:2608.24954v12026
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant, Chelsea Finn, Sergey Levine +2
cs.LGarXiv:1801.08930v12018
Clearing the Underbrush: AI-Enhanced RF Interference Suppression
Rahul Jain, Pierre Trepagnier, Rick Gentile +2
cs.LGcs.AIeess.SParXiv:2608.24974v12026
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Hua Wei, Nan Xu, Huichu Zhang +7
cs.MAcs.GTcs.LGarXiv:1905.05717v22019
MSR-IVA: Masked Structural Residual Independent Vector Analysis for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity
Victor Solomon, Zening Fu, Rafal Angryk +2
cs.LGarXiv:2608.24978v12026
Flower Hub: A Reproducible Benchmarking Platform for Federated Learning in Simulation and Deployment
Yan Gao, Mohammad Naseri, Javier Fernandez-Marques +19
cs.LGcs.AIarXiv:2608.25114v12026
CRAMER: Control via Request-Aware Masking for Editing Recommenders
Zhiyuan Julian Su, Naihe Feng, Zhen Luther Qin +1
cs.IRcs.AIcs.LGarXiv:2608.25370v12026
Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration
Aoi Otake, Ferdinand Hartmann, Ko Igari +1
cs.ROcs.AIcs.LGarXiv:2608.25284v12026
DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning
Menghui Zhou, Zhipeng Yuan, Vitaveska Lanfranchi +1
cs.LGcs.AIarXiv:2608.25073v12026
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
Shengyi Huang, Santiago Ontañón
cs.LGcs.AIstat.MLarXiv:2006.14171v32020
ROMNet: a hybrid reduced order modeling and machine learning approach to waveform inversion
Liliana Borcea, Alexander Mamonov, Kui Ren +2
math.NAcs.LGphysics.geo-pharXiv:2608.25160v12026

Machine Learning

Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research

Modality Contribution Score - A Per-Patient Framework for Quantifying the Relative Diagnostic Contribution of Structural MRI and Amyloid PET in Alzheimer's Disease

Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging

Learning to Generate Reviews and Discovering Sentiment

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

Towards a Definition of Disentangled Representations

On the Representational Geometry of Dynamic Programs

Learning Mixtures of Plackett-Luce Models for Multi-Objective Alignment

(Mis)Understanding Benign Overfitting in Equity Return Prediction

Hyperbolic Latent Geometry for Tree-Structured Prototype Networks: A Local-vs-Global Trade-off

Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning

The Frame Kernel Method for Multiscale Operator Learning

Hyena Hierarchy: Towards Larger Convolutional Language Models

Machine Learning Methods for Attack Detection in the Smart Grid

What Regularized Auto-Encoders Learn from the Data Generating Distribution

Demystifying Reinforcement Learning Post-Training of Language Models

Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation

Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows

Modulating early visual processing by language

Clustering Algorithms: A Comparative Approach

Physics-Informed Foresight Pruning for Sparse PINN Solvers of Nonlinear PDEs

Two Dimensions Govern Agnostic Multiclass Transductive Learning

Understanding and Improving Layer Normalization

Item2Vec: Neural Item Embedding for Collaborative Filtering

Why and When Neural Networks Improve Local Approximation in Optimization

Unprocessing Images for Learned Raw Denoising

Physics-Integrated Operator Learning via Gaussian Splatting Representations

DayDreamer: World Models for Physical Robot Learning

Threats to Federated Learning: A Survey

Score-Based Ideal Observer Approximation via Denoising Score Matching for Signal-Known-Exactly Detection Tasks

Optimal approximation of piecewise smooth functions using deep ReLU neural networks

Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation

NVExplain: Explaining Time Series Forecasting with Latent Trajectory Analysis and Structure-Preserving Surrogates

On-line Building Energy Optimization using Deep Reinforcement Learning

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges

LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning

Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning

SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning

Quantum machine learning: a classical perspective

Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning

Tensor2Tensor for Neural Machine Translation

Transforms for LLM Quantization: The Great Inversion and Format Co-Design

Simultaneous inference of environmental and interaction forces in collective dynamics

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

Understanding the Energy Scaling of Large Language Model Inference Across Context Lengths and Attention Architectures

AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes

Clearing the Underbrush: AI-Enhanced RF Interference Suppression

CoLight: Learning Network-level Cooperation for Traffic Signal Control

MSR-IVA: Masked Structural Residual Independent Vector Analysis for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity

Flower Hub: A Reproducible Benchmarking Platform for Federated Learning in Simulation and Deployment

CRAMER: Control via Request-Aware Masking for Editing Recommenders

Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration

DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

ROMNet: a hybrid reduced order modeling and machine learning approach to waveform inversion