🤖 ML Theory - Sundache · Scour

Two-Stage Robust Sparse Gradient Methods for Regression Under Heavy-Tailed Designs

🤖Machine Learning Academic

Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming

🤖Machine Learning Academic

An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization

🤖Machine Learning Academic

Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning

📊Statistics Academic

Continuous-Variable Quantum State Tomography Enabled by Quantum Mirrors

🤖Machine Learning Academic

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks

🤖Machine Learning Academic

PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis

🤖Machine Learning Academic

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

🔍Interpretable ML Academic

Invariant Gradient Alignment for Robust Reasoning Distillation

🔍Interpretable ML Academic

Cross-Epoch Adaptive Rollout Optimization for RL Post-Training

🤖Machine Learning Academic

New Empirical Process Tools and Their Applications to Robust Deep ReLU Networks and Phase Transitions for Nonparametric Regression

🤖Machine Learning Academic

Exact Unlearning in Reinforcement Learning

🤖AI Academic

How abundant are good interpolators?

🤖Machine Learning Academic

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability

🔍Interpretable ML Academic

Regret Minimization in Single-Dimensional Contract-Design with Binary Actions

🤖Game AI Academic

Experimental measurement and a physical interpretation of quantum shadow enumerators

💹Quant Finance Academic

Fermionic non-Gaussianity via Bell sampling: monotones and efficient quantum algorithms

🤖Machine Learning Academic

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