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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61 to 120 of 19,928

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
Tobias Susetzky, Raphael Rehms, Dmitrii Seletkov +5
cs.LGcs.AIarXiv:2609.09140v12026
Class-incremental Learning via Deep Model Consolidation
Junting Zhang, Jie Zhang, Shalini Ghosh +5
cs.CVcs.LGarXiv:1903.07864v42019
CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion
Chenhan Zhang, Ali Braytee, Madhushi Bandara +4
cs.LGcs.AIarXiv:2609.08244v12026
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying, Dylan Bourgeois, Jiaxuan You +2
cs.LGstat.MLarXiv:1903.03894v42019
EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Yingkai Yang, Ashton Yu Xuan Tan, Bowen Li +10
cs.AIcs.LGeess.SParXiv:2609.07128v12026
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang, Yozen Liu, Yizhou Sun +1
cs.LGcs.AIarXiv:2110.08727v22021
Scaling Test-Time Compute for Agentic Coding
Joongwon Kim, Wannan Yang, Kelvin Niu +13
cs.SEcs.AIcs.CLarXiv:2604.16529v12026
Learning High-Speed Flight in the Wild
Antonio Loquercio, Elia Kaufmann, René Ranftl +3
cs.ROcs.LGeess.SYarXiv:2110.05113v12021
Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu +5
cs.AIcs.LGarXiv:2110.01167v22021
Implicit Behavioral Cloning
Pete Florence, Corey Lynch, Andy Zeng +7
cs.ROcs.CVcs.LGarXiv:2109.00137v12021
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
Hanchen Li, Runyuan He, Qizheng Zhang +11
cs.AIcs.CLcs.LGarXiv:2604.04247v12026
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao, Jaehoon Lee +6
stat.MLcs.AIcs.LGarXiv:1810.05148v42018
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Hanrui Wang, Yongshan Ding, Jiaqi Gu +5
quant-phcs.ARcs.LGarXiv:2107.10845v52021
Deep learning cardiac motion analysis for human survival prediction
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan +8
cs.LGcs.CVstat.MLarXiv:1810.03382v12018
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes, Yann Dauphin, Ekin D. Cubuk
cs.LGarXiv:2110.12899v32021
Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens
Matteo He, William F. Shen, Xinchi Qiu +1
cs.CLcs.AIcs.LGarXiv:2609.01936v12026
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios N. Angelopoulos, Stephen Bates
cs.LGcs.AImath.STarXiv:2107.07511v62021
Music Transformer
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit +7
cs.LGcs.SDeess.ASarXiv:1809.04281v32018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee, Kibok Lee, Honglak Lee +1
stat.MLcs.CRcs.LGarXiv:1807.03888v22018
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
Pu Ren, Chengping Rao, Yang Liu +2
cs.LGcs.CLmath.NAarXiv:2106.14103v12021
Post-Training Science for Supervised Fine-Tuning
Charles O'Neill, Mudith Jayasekara, Harry Partridge
cs.LGcs.CLarXiv:2609.01244v12026
World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
Yuejiang Liu, Fan Feng, Lingjing Kong +6
cs.LGcs.AIcs.ROarXiv:2604.01985v22026
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1
cs.CVcs.AIcs.LGarXiv:1804.09400v12018
Encoding physics to learn reaction-diffusion processes
Chengping Rao, Pu Ren, Qi Wang +3
cs.LGmath.NAphysics.comp-pharXiv:2106.04781v22021
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu, Enver Sangineto, Wei Bi +3
cs.CVcs.LGarXiv:2106.03746v22021
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation
Ekdeep Singh Lubana, Puja Trivedi, Danai Koutra +1
cs.LGarXiv:2102.02805v52021
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein +4
cs.LGcond-mat.dis-nncs.ETarXiv:2104.13386v12021
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan +2
physics.comp-phcs.LGnlin.CDarXiv:1802.07486v52018
WHALE: A Simple Recipe for Joint Harness-Weight Optimization
Haechan Kim, Yoonho Lee, Gisang Lee +2
cs.LGcs.AIarXiv:2609.00196v12026
Demystifying When Pruning Works via Representation Hierarchies
Shwai He, Guoheng Sun, Haichao Zhang +2
cs.CLcs.LGarXiv:2603.24652v32026
Learning a SAT Solver from Single-Bit Supervision
Daniel Selsam, Matthew Lamm, Benedikt Bünz +3
cs.AIcs.LGcs.LOarXiv:1802.03685v42018
Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RL
Michal Korniak, Kamil Dybek, Benjamin Eysenbach +2
cs.LGarXiv:2608.30640v12026
Experiential Reflective Learning for Self-Improving LLM Agents
Marc-Antoine Allard, Arnaud Teinturier, Victor Xing +1
cs.LGcs.AIarXiv:2603.24639v22026
LaVAN: Localized and Visible Adversarial Noise
Danny Karmon, Daniel Zoran, Yoav Goldberg
cs.CVcs.LGarXiv:1801.02608v22018
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
Kyeong Soo Kim, Sanghyuk Lee, Kaizhu Huang
cs.NIcs.LGcs.NEarXiv:1712.01990v12017
Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems
Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer +1
cs.LGarXiv:2608.29888v12026
A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification
Kehan Long, Yiqi Zhao, Pol Mestres +3
math.OCcs.LGeess.SYarXiv:2608.29789v12026
Machine learning for neural decoding
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury +3
q-bio.NCcs.LGstat.MLarXiv:1708.00909v42017
BERTology of Molecular Property Prediction
Mohammad Mostafanejad, Paul Saxe, T. Daniel Crawford
cs.LGcs.CLarXiv:2603.13627v12026
Beyond Non-IID: Learner--Client Distribution Mismatch in Federated Learning
Yiming Xie, Lili Su, Ningfang Mi
cs.LGarXiv:2608.27715v12026
Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers
Markus Frohmann, Mahdiyar Alavi, Elizabeth Lingg +1
cs.CLcs.IRcs.LGarXiv:2608.26762v12026
Daydreaming: Stealing Hidden Agent Skills through Black-Box Task Interaction
Yu-Lin Tsai, Yu-An Lu, Ci-Yang Tsai +3
cs.CRcs.AIcs.LGarXiv:2608.26733v12026
Evaluating Memory Structure in LLM Agents
Alina Shutova, Alexandra Olenina, Ivan Vinogradov +1
cs.LGcs.CLarXiv:2602.11243v22026
A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM
Alkin Kaz, Arda Kaz, Ellen D. Zhong
q-bio.BMcs.LGarXiv:2608.25388v12026
GENIUS: Generative Fluid Intelligence Evaluation Suite
Ruichuan An, Sihan Yang, Ziyu Guo +8
cs.LGcs.AIcs.CVarXiv:2602.11144v12026
FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs
Ze Sheng, Aleksandar Kezic, Zhicheng Chen +1
cs.AIcs.CRcs.LGarXiv:2608.25158v12026
Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration
Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4
eess.SYcs.LGmath.OCarXiv:2608.25095v12026
Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL
Ian Wu, Yuxiao Qu, Amrith Setlur +1
cs.LGarXiv:2602.03773v22026
From Numerical Simulators of PDEs to Neural Emulators and Back
Felix Koehler
cs.LGarXiv:2608.24547v12026
An Empirical Study of World Model Quantization
Zhongqian Fu, Tianyi Zhao, Kai Han +3
cs.LGcs.CVarXiv:2602.02110v12026
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
cs.CVcs.LGstat.MLarXiv:1609.03677v32016
It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces
Leonhard F. Feiner, Manuel Nickel, Martin Menten +6
cs.LGcs.CVarXiv:2608.24518v12026
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba +3
cs.LGcs.CVcs.NEarXiv:1606.03498v12016
LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology
Marie-Lisa Eich, Kai Standvoss, Timo Milbich +30
cs.CVcs.AIcs.LGarXiv:2608.23803v12026
Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers
Federico Stella, Fei Jiang, Zhongshi Jiang +4
cs.CVcs.LGarXiv:2608.23410v12026
Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification
Yiju Guo, Tianyi Hu, Zexu Sun +1
cs.LGcs.AIcs.CLarXiv:2601.21244v32026
Deep Knowledge Tracing
Chris Piech, Jonathan Spencer, Jonathan Huang +4
cs.AIcs.CYcs.LGarXiv:1506.05908v12015
Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD
Murat Bilgehan Ertan, Marten van Dijk
cs.LGcs.CRarXiv:2601.10237v32026
Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments
Yuki Murakami, Takumi Hattori, Kohsuke Kubota
stat.MEcs.AIcs.LGarXiv:2608.22024v12026
Transition Matching Distillation for Fast Video Generation
Weili Nie, Julius Berner, Nanye Ma +3
cs.CVcs.AIcs.LGarXiv:2601.09881v22026

Machine Learning

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

Class-incremental Learning via Deep Model Consolidation

CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion

GNNExplainer: Generating Explanations for Graph Neural Networks

EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles

Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

Scaling Test-Time Compute for Agentic Coding

Learning High-Speed Flight in the Wild

Trustworthy AI: From Principles to Practices

Implicit Behavioral Cloning

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

Deep learning cardiac motion analysis for human survival prediction

No One Representation to Rule Them All: Overlapping Features of Training Methods

Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Music Transformer

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs

Post-Training Science for Supervised Fine-Tuning

World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

Encoding physics to learn reaction-diffusion processes

Efficient Training of Visual Transformers with Small Datasets

How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems

Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks

WHALE: A Simple Recipe for Joint Harness-Weight Optimization

Demystifying When Pruning Works via Representation Hierarchies

Learning a SAT Solver from Single-Bit Supervision

Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RL

Experiential Reflective Learning for Self-Improving LLM Agents

LaVAN: Localized and Visible Adversarial Noise

A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting

Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems

A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

Machine learning for neural decoding

BERTology of Molecular Property Prediction

Beyond Non-IID: Learner--Client Distribution Mismatch in Federated Learning

Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers

Daydreaming: Stealing Hidden Agent Skills through Black-Box Task Interaction

Evaluating Memory Structure in LLM Agents

A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM

GENIUS: Generative Fluid Intelligence Evaluation Suite

FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs

Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL

From Numerical Simulators of PDEs to Neural Emulators and Back

An Empirical Study of World Model Quantization

Unsupervised Monocular Depth Estimation with Left-Right Consistency

It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces

Improved Techniques for Training GANs

LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers

Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification

Deep Knowledge Tracing

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD

Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments

Transition Matching Distillation for Fast Video Generation