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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7,801 to 7,860 of 20,193

Spectrum-Aware Bounds on Invertibility for Privacy-Enhancing Instance Encoding
Seokjin Hwang, Yuting, Li +1
cs.LGcs.CRarXiv:2608.23382v12026
Safety Hacking in Constrained Best-of-$N$ Inference-time Scaling
Akifumi Wachi, Takumi Tanabe, Youhei Akimoto
cs.LGcs.AIcs.CLarXiv:2608.22915v12026
On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models
Yang Yu
cs.LGarXiv:2608.22197v12026
Loss Landscape Features That Make Adam Stall: Definitions, Estimators, and the Preconditioned Hessian View
Rodion Podorozhny
cs.LGmath.NAarXiv:2608.22145v12026
What Neural Network Field Theory Can and Cannot Realise on a Computer
Thomas R. Harvey
hep-thcs.LGhep-latarXiv:2608.21523v12026
COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models
Peiqi Yu, Nam Ling, Wei Wang +1
cs.LGarXiv:2608.21142v12026
Training, learning and inference: unified dynamics of neural systems
Mian Wang
cs.LGarXiv:2608.20965v12026
Provable Edge-of-Stability for Adam on a One-Dimensional Quadratic
Yiman Fong, Heng Yang
cs.LGcs.AImath.OCarXiv:2608.20638v12026
Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +3
cs.LGcs.AIarXiv:2608.18555v12026
Abra: Scaling Diffusion Image Training
Kyle Chickering, Wei-An Lin, Swayam Bhanded +5
cs.LGarXiv:2608.17286v12026
A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
Rafael Muñoz-Terol, Jesús Peral, Sandra Amador +1
cs.LGcs.AIarXiv:2608.18188v12026
How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Shahid Munir Shah +2
quant-phcs.AIcs.ETarXiv:2608.18155v12026
BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs
Cláudia Oliveira, Álvaro Figueira
cs.CLcs.LGarXiv:2608.18101v12026
Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models
Bilal Hussain, Xiao Tang, Qinghe Du +3
cs.CRcs.LGarXiv:2608.17796v12026
TokEval: A Tokenizer Evaluation Suite
Clara Meister
cs.CLcs.LGarXiv:2608.18062v12026
Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits
Kaifei Wang, Yinyu Ye, Han Zhong
stat.MLcs.LGmath.OCarXiv:2608.17841v12026
Expressivity In Multimodal Contrastive Learning
Andrew Stuart, Florian Wolf
stat.MLcs.LGmath.STarXiv:2608.17203v12026
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang, Yandong Li, Yiwei Sun +3
cs.LGcs.CRcs.SIarXiv:1908.07558v32019
How smoothing the affinity matrix affects neighborhood preservation in t-SNE
Shirin Mohebi, Guillaume Bied, Jefrey Lijffijt
cs.LGcs.CVarXiv:2608.17190v12026
Learning Generalizable Reconstruction of High-Dimensional Neural Dynamics
Anima Kujur, Zahra Monfared
cs.LGarXiv:2608.16569v12026
Detecting and Discriminating Operator Misspecification in Hybrid PDE-Parameter Learning: a Reference-Free Instrument, with Discrimination Bounded In Sample
Eric Fock
cs.LGmath.NAstat.MEarXiv:2608.16925v12026
Offline Reinforcement Learning for Hemodynamic Management of Sepsis in the ICU: a MIMIC-IV Study with Dual Off-Policy Evaluation
Marc Pérez-Roig, David Fernández-Narro, Carlos Sáez
cs.AIcs.LGarXiv:2608.16482v12026
The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning
Małgorzata Łazęcka, Ewa Szczurek
cs.LGarXiv:2608.16245v12026
Demystifying Oversmoothing in Sheaf Neural Networks: An Index-Theoretic Criterion
Junwen Dong, Yuhan Peng, Hao Li +2
cs.LGmath.DGarXiv:2608.16180v12026
AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving
Yuting Wu, Dongfang Guo, Xiangzhong Luo +2
cs.LGcs.CVarXiv:2608.16031v12026
Bilingual-GAN: A Step Towards Parallel Text Generation
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar +2
cs.CLcs.LGarXiv:1904.04742v22019
RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction
Mianzhi Liu, Fan Xiao, Zhiliang Yu +5
cs.LGcs.AIarXiv:2608.16111v12026
Temporal Logic Guided Universal Task Representations for Reinforcement Learning
Hao Zhang, Zhangli Zhou, Zhen Kan
cs.ROcs.FLcs.LGarXiv:2608.15509v12026
Crystal-structure design by agentic AI in a language of motifs
Dinh-Khiet Le, Minh-Quyet Ha, Hong-Phuc Vu-Dinh +3
cond-mat.mtrl-scics.LGarXiv:2608.15900v12026
Beyond Field Accuracy: Two-Axis Diagnosis of Inverse-PINN Parameter Error
Yifan Zhang, Qian Tao
cs.LGmath.NAarXiv:2608.15373v12026
The Physical Cutoff Does Not Restore Homogenization: Phase-Dependent Burning in the Strain G-Equation
Michele Caprio
math.APcs.LGarXiv:2608.15337v12026
Learning reshapes power-law anisotropy in internal representations
Asahi Nakamuta, Jun-nosuke Teramae
cs.LGstat.MLarXiv:2608.15239v12026
Prediction Inference of Time Series with Standard ReLU Deep Neural Networks
Kejin Wu
stat.MLcs.LGstat.COarXiv:2608.15362v12026
Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication
Lin Yin, Tiejun Lv, Weicai Li +2
cs.AIcs.LGarXiv:2608.15256v12026
Fractional Optimizers Meet Fractal Activation Functions: An Empirical Study of Multi-Scale Optimization in Neural Network
Sebastian Raubitzek, Georg Goldenits, Sebastian Schrittwieser +2
cs.LGcs.AIarXiv:2608.14636v12026
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Min Du, Ruoxi Jia, Dawn Song
cs.LGcs.AIcs.CRarXiv:1911.07116v12019
Identifying parameter couplings and uncertainties of mixed-noise stochastic systems via full-covariance Gaussian mixture network
Xiaolong Wang, Xiangwen Hao, Jing Feng +2
stat.MLcs.LGphysics.comp-pharXiv:2608.15198v12026
When do machine-learned exchange-correlation improvements inherit into density-functional tight binding?
Can Polat, Mustafa Kurban, Erchin Serpedin +1
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:2608.14875v12026
Koopman early warning signals for bifurcation and rate-induced tipping
Juan Nathaniel, Carla Roesch, Derek DeSantis +5
nlin.CDcs.LGarXiv:2608.14716v12026
Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning
Hansen Jin Lillemark, Alex Rojas, Zachary Novack +5
cs.CVcs.AIcs.LGarXiv:2608.14706v12026
Universal Thermodynamic Interatomic Potentials for Crystalline Materials
Juno Nam, Bowen Deng, Xiaochen Du +3
cond-mat.mtrl-scicond-mat.stat-mechcs.AIarXiv:2608.14502v12026
PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function
Yuan Guo, Hanshu Chen, Zhuojia Fu
cs.LGarXiv:2608.14619v12026
Online Inference in Distributional Temporal-Difference Learning
Yang Peng, Liangyu Zhang
stat.MLcs.LGarXiv:2608.14408v12026
QUASAR: Lowering the Loss Floor of Quantization-Aware Training with Loss-Aware Reconstruction
Vincent Counathe, Ben Athiwaratkun, Christopher De Sa +1
cs.LGcs.CLstat.MLarXiv:2608.13966v12026
Fashion Outfit Generation via Unified Sequential Composition Models
Kaicheng Pang, Xingxing Zou, Ruohan Xu +1
cs.LGarXiv:2608.13888v12026
Capacity-Dependent Effects of Data Selection for Reasoning
Cuong Dang, Hoang Anh Just, Ruoxi Jia
cs.LGcs.AIcs.CLarXiv:2608.13721v12026
Reward Machines for Signal Temporal Logic
Alper Kamil Bozkurt, Shangtong Zhang, Yuichi Motai
cs.AIcs.LGcs.ROarXiv:2608.13625v12026
Robust XGBoosting for Regression
Iris Aragón Mladosich, Christophe Croux
cs.LGstat.COstat.MLarXiv:2608.13590v12026
LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure
Fanfei Li, Jana Zeller, Manuel Prada-Corral +4
cs.CLcs.AIcs.LGarXiv:2608.13545v12026
Defensive Boosting for Online Probabilistic Forecasting
Georgy Noarov, Aaron Roth
cs.LGcs.CCcs.DSarXiv:2608.13554v12026
Summaries:한국어
Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure
Mingyuan Zhang
cs.LGstat.MLarXiv:2608.13549v12026
Summaries:한국어
Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion
Van Khoa Nguyen, Alexandros Kalousis
cs.LGarXiv:2608.13457v12026
Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence
Mengru Wang, Junfeng Fang, Shuofei Qiao +16
cs.AIcs.CLcs.HCarXiv:2608.12036v12026
AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
Cheng Qian, Wenting Zhao, Liangwei Yang +6
cs.LGcs.AIcs.CLarXiv:2608.12307v12026
MAG: MAnifold Guided Semi-Supervised Multi-modal In-Context Learning
Zirui Cheng, Xun Xu, Tiankai Chen +7
cs.LGarXiv:2608.12724v12026
Small-Scale Experiments: Are We There Yet?
Nicholas Lourie, Kyunghyun Cho, Karen Ullrich +1
cs.LGarXiv:2608.11859v12026
Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing
Tianci Liu, Zihan Dong, Tianchun Li +8
cs.CLcs.AIcs.LGarXiv:2608.11660v12026
UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations
Dvir Samuel, Guy Bar-Shalom, Fabrizio Frasca +4
cs.CVcs.LGarXiv:2608.10835v12026
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
Burc Gokden
cs.LGcs.CLarXiv:2608.10288v12026
Multimodal Model Diffing for Feature Discovery and Control
Hunar Batra, Lachin Naghashyar, Ashkan Khakzar +4
cs.CVcs.AIcs.CLarXiv:2608.09928v12026

Machine Learning

Spectrum-Aware Bounds on Invertibility for Privacy-Enhancing Instance Encoding

Safety Hacking in Constrained Best-of-$N$ Inference-time Scaling

On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models

Loss Landscape Features That Make Adam Stall: Definitions, Estimators, and the Preconditioned Hessian View

What Neural Network Field Theory Can and Cannot Realise on a Computer

COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models

Training, learning and inference: unified dynamics of neural systems

Provable Edge-of-Stability for Adam on a One-Dimensional Quadratic

Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments

Abra: Scaling Diffusion Image Training

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection

BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs

Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models

TokEval: A Tokenizer Evaluation Suite

Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits

Expressivity In Multimodal Contrastive Learning

Transferring Robustness for Graph Neural Network Against Poisoning Attacks

How smoothing the affinity matrix affects neighborhood preservation in t-SNE

Learning Generalizable Reconstruction of High-Dimensional Neural Dynamics

Detecting and Discriminating Operator Misspecification in Hybrid PDE-Parameter Learning: a Reference-Free Instrument, with Discrimination Bounded In Sample

Offline Reinforcement Learning for Hemodynamic Management of Sepsis in the ICU: a MIMIC-IV Study with Dual Off-Policy Evaluation

The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning

Demystifying Oversmoothing in Sheaf Neural Networks: An Index-Theoretic Criterion

AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving

Bilingual-GAN: A Step Towards Parallel Text Generation

RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction

Temporal Logic Guided Universal Task Representations for Reinforcement Learning

Crystal-structure design by agentic AI in a language of motifs

Beyond Field Accuracy: Two-Axis Diagnosis of Inverse-PINN Parameter Error

The Physical Cutoff Does Not Restore Homogenization: Phase-Dependent Burning in the Strain G-Equation

Learning reshapes power-law anisotropy in internal representations

Prediction Inference of Time Series with Standard ReLU Deep Neural Networks

Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication

Fractional Optimizers Meet Fractal Activation Functions: An Empirical Study of Multi-Scale Optimization in Neural Network

Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy

Identifying parameter couplings and uncertainties of mixed-noise stochastic systems via full-covariance Gaussian mixture network

When do machine-learned exchange-correlation improvements inherit into density-functional tight binding?

Koopman early warning signals for bifurcation and rate-induced tipping

Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning

Universal Thermodynamic Interatomic Potentials for Crystalline Materials

PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function

Online Inference in Distributional Temporal-Difference Learning

QUASAR: Lowering the Loss Floor of Quantization-Aware Training with Loss-Aware Reconstruction

Fashion Outfit Generation via Unified Sequential Composition Models

Capacity-Dependent Effects of Data Selection for Reasoning

Reward Machines for Signal Temporal Logic

Robust XGBoosting for Regression

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure

Defensive Boosting for Online Probabilistic Forecasting

Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure

Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion

Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence

AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses

MAG: MAnifold Guided Semi-Supervised Multi-modal In-Context Learning

Small-Scale Experiments: Are We There Yet?

Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing

UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference

Multimodal Model Diffing for Feature Discovery and Control