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[2604.00505] Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks
Machine Learning

[2604.00505] Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks

Abstract page for arXiv paper 2604.00505: Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks

arXiv - AI · 4 min ·
[2604.00499] Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions
Llms

[2604.00499] Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions

Abstract page for arXiv paper 2604.00499: Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions

arXiv - Machine Learning · 4 min ·
[2604.00485] The Rashomon Effect for Visualizing High-Dimensional Data
Nlp

[2604.00485] The Rashomon Effect for Visualizing High-Dimensional Data

Abstract page for arXiv paper 2604.00485: The Rashomon Effect for Visualizing High-Dimensional Data

arXiv - Machine Learning · 3 min ·
[2604.00473] Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach
Machine Learning

[2604.00473] Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach

Abstract page for arXiv paper 2604.00473: Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor...

arXiv - Machine Learning · 4 min ·
[2604.00449] Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout

[2604.00449] Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout

Abstract page for arXiv paper 2604.00449: Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout

arXiv - Machine Learning · 4 min ·
[2604.00419] G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
Llms

[2604.00419] G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs

Abstract page for arXiv paper 2604.00419: G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs

arXiv - AI · 4 min ·
[2604.00399] A Cross-graph Tuning-free GNN Prompting Framework
Machine Learning

[2604.00399] A Cross-graph Tuning-free GNN Prompting Framework

Abstract page for arXiv paper 2604.00399: A Cross-graph Tuning-free GNN Prompting Framework

arXiv - Machine Learning · 3 min ·
[2604.00394] Deep Networks Favor Simple Data
Machine Learning

[2604.00394] Deep Networks Favor Simple Data

Abstract page for arXiv paper 2604.00394: Deep Networks Favor Simple Data

arXiv - Machine Learning · 4 min ·
[2604.00388] Gradient-Based Data Valuation Improves Curriculum Learning for Game-Theoretic Motion Planning
Machine Learning

[2604.00388] Gradient-Based Data Valuation Improves Curriculum Learning for Game-Theoretic Motion Planning

Abstract page for arXiv paper 2604.00388: Gradient-Based Data Valuation Improves Curriculum Learning for Game-Theoretic Motion Planning

arXiv - Machine Learning · 3 min ·
[2604.00385] GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

[2604.00385] GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Abstract page for arXiv paper 2604.00385: GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

arXiv - Machine Learning · 4 min ·
[2604.00352] Deep Learning-Accelerated Surrogate Optimization for High-Dimensional Well Control in Stress-Sensitive Reservoirs
Machine Learning

[2604.00352] Deep Learning-Accelerated Surrogate Optimization for High-Dimensional Well Control in Stress-Sensitive Reservoirs

Abstract page for arXiv paper 2604.00352: Deep Learning-Accelerated Surrogate Optimization for High-Dimensional Well Control in Stress-Se...

arXiv - Machine Learning · 4 min ·
[2604.00342] Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA
Llms

[2604.00342] Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA

Abstract page for arXiv paper 2604.00342: Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA

arXiv - Machine Learning · 4 min ·
[2604.00339] When Career Data Runs Out: Structured Feature Engineering and Signal Limits for Founder Success Prediction
Machine Learning

[2604.00339] When Career Data Runs Out: Structured Feature Engineering and Signal Limits for Founder Success Prediction

Abstract page for arXiv paper 2604.00339: When Career Data Runs Out: Structured Feature Engineering and Signal Limits for Founder Success...

arXiv - Machine Learning · 4 min ·
[2604.00307] SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior
Machine Learning

[2604.00307] SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior

Abstract page for arXiv paper 2604.00307: SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior

arXiv - Machine Learning · 4 min ·
[2604.00324] The Persistent Vulnerability of Aligned AI Systems
Machine Learning

[2604.00324] The Persistent Vulnerability of Aligned AI Systems

Abstract page for arXiv paper 2604.00324: The Persistent Vulnerability of Aligned AI Systems

arXiv - AI · 4 min ·
[2604.00310] Robust Multimodal Safety via Conditional Decoding
Llms

[2604.00310] Robust Multimodal Safety via Conditional Decoding

Abstract page for arXiv paper 2604.00310: Robust Multimodal Safety via Conditional Decoding

arXiv - AI · 3 min ·
[2604.00293] SYNTHONY: A Stress-Aware, Intent-Conditioned Agent for Deep Tabular Generative Models Selection
Llms

[2604.00293] SYNTHONY: A Stress-Aware, Intent-Conditioned Agent for Deep Tabular Generative Models Selection

Abstract page for arXiv paper 2604.00293: SYNTHONY: A Stress-Aware, Intent-Conditioned Agent for Deep Tabular Generative Models Selection

arXiv - Machine Learning · 4 min ·
[2604.00264] Autonomous Adaptive Solver Selection for Chemistry Integration via Reinforcement Learning
Robotics

[2604.00264] Autonomous Adaptive Solver Selection for Chemistry Integration via Reinforcement Learning

Abstract page for arXiv paper 2604.00264: Autonomous Adaptive Solver Selection for Chemistry Integration via Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2604.00260] Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization

[2604.00260] Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization

Abstract page for arXiv paper 2604.00260: Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization

arXiv - Machine Learning · 4 min ·
[2604.00258] Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards

[2604.00258] Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards

Abstract page for arXiv paper 2604.00258: Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards

arXiv - AI · 4 min ·