Statistical Analysis of Markovian Generative Modeling

Adaptive Diffusion Guidance via Stochastic Optimal Control

Generalization bounds for score-based generative models: a synthetic proof

A theory of stratification learning

Wasserstein GANs are Minimax Optimal Distribution Estimators

The Coreness and H-Index of Random Geometric Graphs

Optimal Reach Estimation and Metric Learning

Minimax Boundary Estimation and Estimation with Boundary

Adversarial Manifold Estimation

Non-Asymptotic Rates for Manifold, Tangent Space and Curvature Estimation

Estimating the Reach of a Manifold

Stability and Minimax Optimality of Tangential Delaunay Complexes for Manifold Reconstruction

Rates of Convergence for Geometric Inference