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[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 Prediction

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 ·
[2604.00256] Informed Machine Learning with Knowledge Landmarks
Machine Learning

[2604.00256] Informed Machine Learning with Knowledge Landmarks

Abstract page for arXiv paper 2604.00256: Informed Machine Learning with Knowledge Landmarks

arXiv - Machine Learning · 4 min ·
[2604.00241] Softmax gradient policy for variance minimization and risk-averse multi armed bandits
Machine Learning

[2604.00241] Softmax gradient policy for variance minimization and risk-averse multi armed bandits

Abstract page for arXiv paper 2604.00241: Softmax gradient policy for variance minimization and risk-averse multi armed bandits

arXiv - AI · 3 min ·
[2604.00207] Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits
Data Science

[2604.00207] Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits

Abstract page for arXiv paper 2604.00207: Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits

arXiv - Machine Learning · 4 min ·
[2604.00236] Hierarchical Discrete Flow Matching for Graph Generation
Machine Learning

[2604.00236] Hierarchical Discrete Flow Matching for Graph Generation

Abstract page for arXiv paper 2604.00236: Hierarchical Discrete Flow Matching for Graph Generation

arXiv - Machine Learning · 3 min ·
[2604.00235] MAC-Attention: a Match-Amend-Complete Scheme for Fast and Accurate Attention Computation
Llms

[2604.00235] MAC-Attention: a Match-Amend-Complete Scheme for Fast and Accurate Attention Computation

Abstract page for arXiv paper 2604.00235: MAC-Attention: a Match-Amend-Complete Scheme for Fast and Accurate Attention Computation

arXiv - AI · 4 min ·
[2604.00230] Neural Collapse Dynamics: Depth, Activation, Regularisation, and Feature Norm Threshold
Machine Learning

[2604.00230] Neural Collapse Dynamics: Depth, Activation, Regularisation, and Feature Norm Threshold

Abstract page for arXiv paper 2604.00230: Neural Collapse Dynamics: Depth, Activation, Regularisation, and Feature Norm Threshold

arXiv - Machine Learning · 4 min ·
[2604.00223] Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
Llms

[2604.00223] Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation

Abstract page for arXiv paper 2604.00223: Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation

arXiv - AI · 3 min ·
[2604.00208] Measuring the Representational Alignment of Neural Systems in Superposition
Machine Learning

[2604.00208] Measuring the Representational Alignment of Neural Systems in Superposition

Abstract page for arXiv paper 2604.00208: Measuring the Representational Alignment of Neural Systems in Superposition

arXiv - Machine Learning · 4 min ·
[2604.00205] Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks
Machine Learning

[2604.00205] Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks

Abstract page for arXiv paper 2604.00205: Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks

arXiv - Machine Learning · 4 min ·
[2604.00200] Offline Constrained RLHF with Multiple Preference Oracles
Ai Safety

[2604.00200] Offline Constrained RLHF with Multiple Preference Oracles

Abstract page for arXiv paper 2604.00200: Offline Constrained RLHF with Multiple Preference Oracles

arXiv - Machine Learning · 3 min ·
[2604.00199] QUEST: A robust attention formulation using query-modulated spherical attention
Machine Learning

[2604.00199] QUEST: A robust attention formulation using query-modulated spherical attention

Abstract page for arXiv paper 2604.00199: QUEST: A robust attention formulation using query-modulated spherical attention

arXiv - AI · 4 min ·
[2604.00195] Lévy-Flow Models: Heavy-Tail-Aware Normalizing Flows for Financial Risk Management
Machine Learning

[2604.00195] Lévy-Flow Models: Heavy-Tail-Aware Normalizing Flows for Financial Risk Management

Abstract page for arXiv paper 2604.00195: Lévy-Flow Models: Heavy-Tail-Aware Normalizing Flows for Financial Risk Management

arXiv - Machine Learning · 3 min ·