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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22,141 to 22,200 of 33,386

Wan-Streamer v0.2: Higher Resolution, Same Latency
Lianghua Huang, Zhi-Fan Wu, Yupeng Shi +23
cs.CVcs.AIcs.GRarXiv:2607.04443v32026
PSI-SINDy: Post-Selection Inference for Sparse Identification of Nonlinear Dynamics
Ashraful Islam, Shuichi Nishino, Tomohiro Shiraishi +1
stat.MLcs.LGarXiv:2610.11486v12026
Network Morphism
Tao Wei, Changhu Wang, Yong Rui +1
cs.LGcs.CVcs.NEarXiv:1603.01670v22016
Geometric Action Model for Robot Policy Learning
Jisang Han, Seonghu Jeon, Jaewoo Jung +7
cs.ROcs.CVcs.LGarXiv:2606.17046v22026
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan +2
cs.LGcs.AIcs.ROarXiv:1809.07731v12018
Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan
stat.MLcs.LGarXiv:2111.00034v22021
An Exact Quantized Decentralized Gradient Descent Algorithm
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +1
cs.LGcs.DCmath.OCarXiv:1806.11536v32018
Trained Ternary Quantization
Chenzhuo Zhu, Song Han, Huizi Mao +1
cs.LGarXiv:1612.01064v32016
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
Gino Brunner, Andres Konrad, Yuyi Wang +1
cs.SDcs.LGeess.ASarXiv:1809.07600v12018
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran +4
stat.MLcs.LGarXiv:2104.00587v12021
Conditional validity of inductive conformal predictors
Vladimir Vovk
cs.LGarXiv:1209.2673v22012
Advances in Variational Inference
Cheng Zhang, Judith Butepage, Hedvig Kjellstrom +1
cs.LGstat.MLarXiv:1711.05597v32017
Kernel-based Reconstruction of Graph Signals
Daniel Romero, Meng Ma, Georgios B. Giannakis
stat.MLcs.LGarXiv:1605.07174v12016
ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution
Yehonatan Elisha, Oren Barkan, Ziv Weiss Haddad +1
cs.CVcs.AIcs.LGarXiv:2610.04605v12026
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu, Lu Zhang, Xintao Wu +1
cs.LGcs.AIcs.CYarXiv:1910.12586v12019
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Usman Anwar, Abulhair Saparov, Javier Rando +39
cs.LGcs.AIcs.CLarXiv:2404.09932v22024
Deep Embedded Multi-view Clustering with Collaborative Training
Jie Xu, Yazhou Ren, Guofeng Li +3
cs.LGstat.MLarXiv:2007.13067v12020
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion +1
cs.LGcs.CRcs.CVarXiv:1912.00049v32019
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran +2
cs.LGcs.AIstat.MLarXiv:2109.11428v12021
Large-scale Multi-label Text Classification - Revisiting Neural Networks
Jinseok Nam, Jungi Kim, Eneldo Loza Mencía +2
cs.LGarXiv:1312.5419v32013
Subspace Robust Wasserstein Distances
François-Pierre Paty, Marco Cuturi
cs.LGstat.MLarXiv:1901.08949v52019
PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
Chenlong Yin, Runpeng Geng, Yanting Wang +1
cs.LGcs.CRarXiv:2603.13026v22026
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour, Ali Jadbabaie
math.OCcs.DCcs.LGarXiv:1609.02845v12016
Correcting Variable Importance Scored by Random Forests
Guancheng Zhou, Haiping Xu, Jason Liu +1
stat.MEcs.AIcs.LGarXiv:2606.10770v12026
Guiding a Diffusion Transformer with the Internal Dynamics of Itself
Xingyu Zhou, Qifan Li, Xiaobin Hu +2
cs.CVcs.LGarXiv:2512.24176v22025
StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes
Aaron L. Feller, Andrew D. Ellington, Claus O. Wilke
q-bio.BMcs.LGarXiv:2610.00742v12026
Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning
Dylan Zhang, Yufeng Xu, Haojin Wang +2
cs.LGcs.AIcs.CLarXiv:2602.01058v22026
PokaiTrainer: Scaling Belief-State Search to Competitive Pokémon VGC
Max Yu
cs.LGcs.AIcs.GTarXiv:2608.29197v12026
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries
Ali Kashefi, Davis Rempe, Leonidas J. Guibas
cs.LGphysics.flu-dynarXiv:2010.09469v22020
ECA-BLS: An Efficient Complex-Augmented Broad Learning System
A. Rahaman, A. Quadir, M. Sajid +2
cs.LGarXiv:2608.29763v12026
FastSHAP: Real-Time Shapley Value Estimation
Neil Jethani, Mukund Sudarshan, Ian Covert +2
stat.MLcs.CVcs.LGarXiv:2107.07436v32021
Tighter risk certificates for neural networks
María Pérez-Ortiz, Omar Rivasplata, John Shawe-Taylor +1
cs.LGcs.CVstat.MLarXiv:2007.12911v32020
DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models
Yotam Eshel, Guy Hadad, Guy Feigenblat +3
cs.LGcs.AIarXiv:2609.02468v12026
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
Jean Kossaifi, Nikola Kovachki, Morteza Mardani +15
cs.LGcs.AIarXiv:2601.18111v12026
MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
Ruijie Zhu, Jiahao Lu, Wenbo Hu +4
cs.CVcs.AIcs.CGarXiv:2602.08961v22026
UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents
Niu Lian, Tongbo Chen, Zhehao Yu +8
cs.CLcs.AIcs.CVarXiv:2607.04425v22026
Recipes for Steering and Scaling LLMs via Sampling
Jiajun He, Zongyu Guo, José Miguel Hernández-Lobato +1
cs.CLcs.LGarXiv:2608.26120v12026
$\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions
Victor Medina-Olivares, Stefan Lessmann, Jonathan Crook
stat.MLcs.AIcs.LGarXiv:2608.24582v12026
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Zihan Fang, Zheng Lin, Zhe Chen +3
cs.LGcs.AIarXiv:2404.06448v22024
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch +26
cs.CVcs.LGcs.NEarXiv:1809.04430v32018
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
cs.LGstat.MLarXiv:2208.09399v32022
Conformal Risk Minimization for Semi-Supervised Domain Adaptation via Optimal Transport
Manos Giannopoulos, Yi Shen, Michael M. Zavlanos
cs.LGarXiv:2608.23153v12026
Global Self-Attention as a Replacement for Graph Convolution
Md Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
cs.LGarXiv:2108.03348v32021
Input Convex Neural Networks
Brandon Amos, Lei Xu, J. Zico Kolter
cs.LGmath.OCarXiv:1609.07152v32016
Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo +3
cs.LGarXiv:2506.06039v32025
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi, Ekta Walia, Paul Babyn
cs.CVcs.LGarXiv:1809.07294v42018
LDP-Fed: Federated Learning with Local Differential Privacy
Stacey Truex, Ling Liu, Ka-Ho Chow +2
cs.LGcs.CRstat.MLarXiv:2006.03637v12020
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild +4
cs.CVcs.LGarXiv:2302.07121v12023
Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient
Duy-Tai Dinh, Tsutomu Fujinami, Van-Nam Huynh
cs.LGarXiv:2501.15542v12025
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
Grégoire Montavon, Sebastian Bach, Alexander Binder +2
cs.LGstat.MLarXiv:1512.02479v12015
Technical Comparative Benchmarking Study: Advanced AI Hybrid Methods for Renewable Energy Farm Optimization and Forecasting
Majid Masoumi, Asghar Dashtiy, Mohammad Dehghan +1
cs.LGarXiv:2608.26613v12026
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Meysam Sadeghi, Erik G. Larsson
cs.ITcs.CRcs.LGarXiv:1808.07713v12018
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Bram Wallace, Akash Gokul, Stefano Ermon +1
cs.CVcs.AIcs.LGarXiv:2303.13703v22023
Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis
Feng Shi, Chonghan Lee, Mohammad Khairul Bashar +3
cs.NEcs.AIcs.LGarXiv:2107.07116v12021
Learning Graph-Level Representation for Drug Discovery
Junying Li, Deng Cai, Xiaofei He
cs.LGstat.MLarXiv:1709.03741v22017
Sparks: Multi-Agent Artificial Intelligence Model Discovers Protein Design Principles
Alireza Ghafarollahi, Markus J. Buehler
cs.AIcond-mat.mtrl-scicond-mat.softarXiv:2504.19017v12025
On the "Induction Bias" in Sequence Models
M. Reza Ebrahimi, Michaël Defferrard, Sunny Panchal +1
cs.LGcs.CLarXiv:2602.18333v22026
Skill Profiling with Attributable Reasoning (SPAR): A Wearable Analysis System for Boxing
Nibraas Khan, Hanchen David Wang, Enya Bullard +5
cs.HCcs.LGarXiv:2609.30753v12026
LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation
Jinwoo Ahn, Ingyu Seong, Akhil Kedia +4
cs.LGcs.AIarXiv:2603.10899v12026
An all-transistor physical-learning transformer can be trained to perform in-context learning
Michael C. Abbott, Benjamin B. Machta
cs.LGcond-mat.softarXiv:2610.12571v12026

Machine Learning

Wan-Streamer v0.2: Higher Resolution, Same Latency

PSI-SINDy: Post-Selection Inference for Sparse Identification of Nonlinear Dynamics

Network Morphism

Geometric Action Model for Robot Policy Learning

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Neural Networks as Kernel Learners: The Silent Alignment Effect

An Exact Quantized Decentralized Gradient Descent Algorithm

Trained Ternary Quantization

MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer

NeRF-VAE: A Geometry Aware 3D Scene Generative Model

Conditional validity of inductive conformal predictors

Advances in Variational Inference

Kernel-based Reconstruction of Graph Signals

ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution

PC-Fairness: A Unified Framework for Measuring Causality-based Fairness

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Deep Embedded Multi-view Clustering with Collaborative Training

Square Attack: a query-efficient black-box adversarial attack via random search

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Large-scale Multi-label Text Classification - Revisiting Neural Networks

Subspace Robust Wasserstein Distances

PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses

Distributed Online Optimization in Dynamic Environments Using Mirror Descent

Correcting Variable Importance Scored by Random Forests

Guiding a Diffusion Transformer with the Internal Dynamics of Itself

StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes

Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning

PokaiTrainer: Scaling Belief-State Search to Competitive Pokémon VGC

A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries

ECA-BLS: An Efficient Complex-Augmented Broad Learning System

FastSHAP: Real-Time Shapley Value Estimation

Tighter risk certificates for neural networks

DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting

MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents

Recipes for Steering and Scaling LLMs via Sampling

$\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions

Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Conformal Risk Minimization for Semi-Supervised Domain Adaptation via Optimal Transport

Global Self-Attention as a Replacement for Graph Convolution

Input Convex Neural Networks

Do-PFN: In-Context Learning for Causal Effect Estimation

Generative Adversarial Network in Medical Imaging: A Review

LDP-Fed: Federated Learning with Local Differential Privacy

Universal Guidance for Diffusion Models

Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient

Explaining NonLinear Classification Decisions with Deep Taylor Decomposition

Technical Comparative Benchmarking Study: Advanced AI Hybrid Methods for Renewable Energy Farm Optimization and Forecasting

Adversarial Attacks on Deep-Learning Based Radio Signal Classification

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis

Learning Graph-Level Representation for Drug Discovery

Sparks: Multi-Agent Artificial Intelligence Model Discovers Protein Design Principles

On the "Induction Bias" in Sequence Models

Skill Profiling with Attributable Reasoning (SPAR): A Wearable Analysis System for Boxing

LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation

An all-transistor physical-learning transformer can be trained to perform in-context learning