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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20,101 to 20,160 of 20,199

SPEAR: Structure Property Explainability with Attention Regularization
Aditya Raghavan, Utkarsh Pratiush, Dalton A. Pearl +4
cond-mat.mtrl-scics.LGarXiv:2608.13826v12026
Conditional Neural Optimal Transport for Predicting Cellular Phenotypes from Molecular Structure
Gauthier Avité, Maxime Sanchez-Renauld, Nicolas Bourriez +1
cs.CVcs.LGarXiv:2608.14293v12026
Approximate Muon with low-rank adapters
Ben Anson, Conor Houghton, Edward Milsom
cs.LGarXiv:2608.14492v12026
CytoBERT: A Foundation Model for Cytometry Data
Syed Abdul Haseeb Qadri, Bjarne C. Hiller, Felix Blanke +7
cs.LGarXiv:2608.14414v12026
LP-NAS: Linear Programming-based Neural Architecture Search
Abhishek Shukla, Ankur Sinha, Faiz Hamid
cs.LGcs.AIarXiv:2608.14472v12026
A Four-Axis Trustworthiness Benchmark for LLM-as-Judge in Principle-Based Regulation
Dipankar Sarkar
cs.CRcs.AIcs.CLarXiv:2608.14329v12026
A Graph-Based Reinforcement Learning Framework for Structured Drift Diagnosis and Recovery in Autonomous LLM Agents
Ismail El Hamraoui, Sagar Jose, Nicolas Bureau +1
cs.AIcs.LGcs.MAarXiv:2608.14109v12026
CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG
Gyuwan Kim, Cheoneum Park, Tao Yang
cs.CLcs.AIcs.IRarXiv:2608.07458v12026
VoiceDesigner: Text-to-Voice Generation and Editing via Unified Diffusion Modeling and Data Augmentation
Jiarui Hai, Karan Thakkar, Ke Chen +5
eess.AScs.LGarXiv:2608.13613v12026
What to Preserve, Where to Adapt: A Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation
Amal Saqib, Tausifa Jan Saleem, Numan Saeed +1
cs.CVcs.LGarXiv:2608.13660v12026
Invisible Shortcuts: Why Vision Encoders Know Your Camera
Vladan Stojnić, Ryan Ramos, Giorgos Kordopatis-Zilos +2
cs.CVcs.LGarXiv:2608.05424v12026
ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?
Tianyi Guan, Yiding Wang, Haotong Yang +5
cs.AIcs.CLcs.LGarXiv:2608.03874v12026
GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning
Zhaoxin Yu, Qi Shen, Hengli Li +4
cs.LGcs.CLarXiv:2608.02585v22026
CutClean: Neural Network Pruning for Privacy-Preserving Inference
Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise +1
cs.LGcs.AIarXiv:2608.13773v12026
Intelligent Detection of Mechanical, Electrical, and Plumbing (MEP) Metrics Based on 2D Floor Plans
Tarandeep Singh Mandhiratta, ANK Zaman, Abdul-Rahman Mawlood-Yunis
cs.CVcs.AIcs.HCarXiv:2608.14317v12026
Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages
Chih-Hsuan Yang, Anjir Ahmed Chowdhury, Cheng-Hau Yang +7
cs.AIcs.CLcs.LGarXiv:2608.14375v12026
RecipeNet: A Hierarchical Transformer for Recipe Data
Pin-Yen Huang, Sachin Chhabra, Prasanth Sai Gouripeddi +2
cs.LGcs.AIarXiv:2608.14505v12026
Architecture and Affordances of PLAUD: Performative Latents and Unsupervised DDSP
Błażej Kotowski, Frederic Font
cs.SDcs.HCcs.LGarXiv:2608.13724v12026
Convex losses and their applications to SVM, SVR, and Shallow Neural Networks
Filippo Portera
cs.LGarXiv:2608.14288v12026
Building AI-Intensive Software with AI: Early Results and a Cautionary Tale on Measuring Development Cost
Victor Barros de Miranda Neves, Kiev Santos da Gama, Vinicius Cardoso Garcia
cs.SEcs.AIcs.LGarXiv:2608.13730v12026
Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression
Zhengpei Hu, Kai Li, Dapeng Fu +5
cs.CLcs.LGarXiv:2608.04569v12026
Unknown Unknowns: Model Misspecification in Machine Learning for Physics
Juan Cruz-Martinez, Carolina Cuesta-Lazaro, Alexander Held +1
physics.data-anastro-ph.COastro-ph.GAarXiv:2608.13633v12026
Learning Unsteady Aneurysm Hemodynamics with Physics-Informed DeepONets
Oscar L. Cruz-Gonzalez, Valérie Deplano, Badih Ghattas
stat.MLcs.LGphysics.flu-dynarXiv:2608.13629v12026
AgilePE: Autonomous UAV Pursuit-Evasion via Self-Play Reinforcement Learning
Wenhao Tang, Tianyang Chen, Zhejun Cui +9
cs.ROcs.LGarXiv:2608.14135v12026
Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval
Ilia Semenkov, Daria Kleeva, Ivan Dakhtin +2
cs.LGcs.SDq-bio.NCarXiv:2608.01481v12026
On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization
Tyler R. Johnson, Kian Ben-Jacob, Christopher P. Muller +1
stat.MLcs.LGstat.MEarXiv:2608.13793v12026
Continual Learning in Transition
Zhiyan Hou, Dan Zhang, Tao Feng +11
cs.LGcs.AIarXiv:2608.06216v22026
An AI4AI Framework for Visual Token Pruning
Zhen Liu, Wenli Huang, Wei Song +3
cs.LGcs.CVarXiv:2608.07193v12026
Expected Free Energy-based Informative Path Planning for Robotic Mars Exploration
Ajith Anil Meera, Pablo Lanillos, Wouter Kouw
cs.ROcs.ITcs.LGarXiv:2608.14466v12026
Non-Parametric Spatiotemporal Trajectory Prediction via State-Conditioned Transition Sampling
Michael Fore, Akshay Jain, Justin Downes +2
cs.LGarXiv:2608.14349v12026
Deep Reinforcement Learning solution for pickup and delivery routing problems with time window and capacity constraints
Andrew Soroka, Alex Meshcheryakov, Sergey Gerasimov
cs.LGarXiv:2608.14156v12026
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization
Varun Ursekar, Apaar Shanker, Yash Maurya +4
cs.AIcs.CLcs.LGarXiv:2608.06301v12026
Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes
Keyvan Amiri Elyasi, Lukas Kirchdorfer, Heiner Stuckenschmidt
cs.LGcs.AIarXiv:2608.14367v12026
OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents
Jingsheng Zheng, Xinyuan Fang, Jintian Zhang +3
cs.CLcs.AIcs.HCarXiv:2608.05013v12026
Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training
Hanfeng Lu, Tianyu Feng, Suyi Li +8
cs.LGcs.DCarXiv:2608.14498v12026
Buy the Rumor, Sell the News: When Is News Priced In?
Alireza Kargarzadeh, Nariman Khaledian, Navid Parvini +2
cs.AIcs.LGq-fin.STarXiv:2608.14014v12026
On-Policy Delta Distillation for Multilingual Math Reasoning
Byeongho Heo, Jaehui Hwang, Sangdoo Yun +1
cs.CLcs.LGarXiv:2608.05802v12026
SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation
Zikun Qu, Min Zhang, Mingze Kong +4
cs.LGcs.AIarXiv:2608.04419v12026
Progressive Agent Skill Generation via Reinforcement Learning
Junhao Shen, Zhanqiu Zhang, Yiwen Guo +1
cs.LGcs.CLarXiv:2608.01678v12026
TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity
Yen-Ku Liu, Hongjie Chen, Ryan A. Rossi +1
cs.LGarXiv:2608.08119v12026
From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRL
Wenyue Hua, Zachary Huang, Tyler Payne +3
cs.AIcs.CLcs.LGarXiv:2608.13787v12026
Identifiability and Order-Dimension Limits of In-Context Learning on Partial Orders
Faizanuddin Ansari, Debanjan Dutta, Swagatam Das
cs.LGarXiv:2608.14004v12026
Fixed-Budget Gaussian Volume Encoding with Structure-Aware Allocation
Michael R. Martin, Joseph Insley, Victor A. Mateevitsi +2
cs.CVcs.AIcs.CEarXiv:2608.14112v12026
L-FNO: Lorentzian Fourier Neural Operator for Stochastic Event Dynamics
Songhee Kang, Jihoon Kang
cs.LGstat.MLarXiv:2608.13562v12026
Multi-Objective Bayesian Optimization for Model Merging
Utkarsh Agarwal, Vamshi Bonagiri, Raul Astudillo +1
cs.LGcs.AIarXiv:2608.14264v12026
Post-training Quantization for Hybrid Iterative Generative Models
Jing Gao, Junyi Wu, Wei Wang +2
cs.LGarXiv:2608.13932v12026
MINT: A Universal Zero-Shot Predictor for Transaction Data
Parameswaran Kamalaruban, Viktor Drobnyi, Maeve Madigan +3
cs.LGcs.CLarXiv:2608.14198v12026
Clearing the Fog: Towards Installing and Refining Proactive Exploration Capabilities in LLM Agents
Zhizhao Guan, Chen Huang, Ziming Liu +5
cs.AIcs.LGarXiv:2608.14339v12026
Designing Compact Neural Architectures via Neuron Gating and Mixed Activation
Abhishek Shukla, Ankur Sinha, Faiz Hamid
cs.LGcs.AIarXiv:2608.14443v12026
ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Ignacio D. Lopez-Miguel, Andreas Happe, Jürgen Cito +3
cs.SEcs.LGarXiv:2608.14352v12026
Probabilistic indirect models for undrained shear strength: addressing significant data missing and variability with advanced imputation and machine learning techniques
Haibin Xiong, Shaoheng Dai, Peng Lan +4
cs.LGcs.DBarXiv:2608.13934v12026
On-Policy Delta Distillation
Byeongho Heo, Jaehui Hwang, Sangdoo Yun +1
cs.LGcs.CLarXiv:2607.15161v12026
Summaries:한국어
Weak-to-Strong Generalization via Direct On-Policy Distillation
Shiyuan Feng, Huan-ang Gao, Haohan Chi +7
cs.LGcs.AIcs.CLarXiv:2607.05394v22026
Summaries:한국어
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
Haoqi Yuan, Zhixuan Liang, Anzhe Chen +20
cs.ROcs.CVcs.LGarXiv:2606.17846v22026
Summaries:한국어
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar +5
cs.CLcs.LGarXiv:1706.03762v72017
Summaries:한국어 日本語简体中文 Español Français Deutsch
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten +1
cs.CVcs.LGarXiv:1608.06993v52016
Summaries:한국어
Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers
Thiago Sandoval, Ufuk Topcu
cs.AIcs.CLcs.CRarXiv:2608.14089v12026
CForce: Boosting Parallel Decoding for dLLMs via Consistency Forcing
Yuji Ren, Chenkai Xu, Zhuocheng Gong +2
cs.LGcs.AIcs.CLarXiv:2608.13925v12026
Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required
Egor Shibaev, Vera Kudrevskaia, Timur Galimzyanov +9
cs.LGcs.AIcs.SEarXiv:2608.13566v12026
When Denoising Hurts: Rethinking the Terminal Step of Diffusion Time Series Forecasters -- Extended Version
Dat Nguyen-Cong, Luong Tran, Tung Kieu
cs.LGarXiv:2608.14067v12026

Machine Learning

SPEAR: Structure Property Explainability with Attention Regularization

Conditional Neural Optimal Transport for Predicting Cellular Phenotypes from Molecular Structure

Approximate Muon with low-rank adapters

CytoBERT: A Foundation Model for Cytometry Data

LP-NAS: Linear Programming-based Neural Architecture Search

A Four-Axis Trustworthiness Benchmark for LLM-as-Judge in Principle-Based Regulation

A Graph-Based Reinforcement Learning Framework for Structured Drift Diagnosis and Recovery in Autonomous LLM Agents

CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG

VoiceDesigner: Text-to-Voice Generation and Editing via Unified Diffusion Modeling and Data Augmentation

What to Preserve, Where to Adapt: A Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation

Invisible Shortcuts: Why Vision Encoders Know Your Camera

ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?

GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning

CutClean: Neural Network Pruning for Privacy-Preserving Inference

Intelligent Detection of Mechanical, Electrical, and Plumbing (MEP) Metrics Based on 2D Floor Plans

Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages

RecipeNet: A Hierarchical Transformer for Recipe Data

Architecture and Affordances of PLAUD: Performative Latents and Unsupervised DDSP

Convex losses and their applications to SVM, SVR, and Shallow Neural Networks

Building AI-Intensive Software with AI: Early Results and a Cautionary Tale on Measuring Development Cost

Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression

Unknown Unknowns: Model Misspecification in Machine Learning for Physics

Learning Unsteady Aneurysm Hemodynamics with Physics-Informed DeepONets

AgilePE: Autonomous UAV Pursuit-Evasion via Self-Play Reinforcement Learning

Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval

On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization

Continual Learning in Transition

An AI4AI Framework for Visual Token Pruning

Expected Free Energy-based Informative Path Planning for Robotic Mars Exploration

Non-Parametric Spatiotemporal Trajectory Prediction via State-Conditioned Transition Sampling

Deep Reinforcement Learning solution for pickup and delivery routing problems with time window and capacity constraints

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes

OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents

Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training

Buy the Rumor, Sell the News: When Is News Priced In?

On-Policy Delta Distillation for Multilingual Math Reasoning

SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation

Progressive Agent Skill Generation via Reinforcement Learning

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity

From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRL

Identifiability and Order-Dimension Limits of In-Context Learning on Partial Orders

Fixed-Budget Gaussian Volume Encoding with Structure-Aware Allocation

L-FNO: Lorentzian Fourier Neural Operator for Stochastic Event Dynamics

Multi-Objective Bayesian Optimization for Model Merging

Post-training Quantization for Hybrid Iterative Generative Models

MINT: A Universal Zero-Shot Predictor for Transaction Data

Clearing the Fog: Towards Installing and Refining Proactive Exploration Capabilities in LLM Agents

Designing Compact Neural Architectures via Neuron Gating and Mixed Activation

ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning

Probabilistic indirect models for undrained shear strength: addressing significant data missing and variability with advanced imputation and machine learning techniques

On-Policy Delta Distillation

Weak-to-Strong Generalization via Direct On-Policy Distillation

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Attention Is All You Need

Densely Connected Convolutional Networks

Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers

CForce: Boosting Parallel Decoding for dLLMs via Consistency Forcing

Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required

When Denoising Hurts: Rethinking the Terminal Step of Diffusion Time Series Forecasters -- Extended Version