Minshuo Chen

Provable Separations between Memorization and Generalization in Diffusion Models

Capturing Uncertainty in Regression via Conditional Diffusion Models

Parameter-Efficient Subspace Optimization for LLM Fine-Tuning

Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification

Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data

High-Order Flow Matching: Unified Framework and Sharp Statistical Rates

On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality

Online Detection for Black-Box Large Language Models with Adaptive Prompt Selection