publications

Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems

On the Differential-Geometric Equivalence of Hellinger-Kantorovich and Cone-Wasserstein Spaces

EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings

Recovering Manifold Structure Using Ollivier Ricci Curvature

Ab initio structure solutions from nanocrystalline powder diffraction data via diffusion models

RxR: Rapid exploration for reinforcement learning via sampling-based reset distributions and imitation pre-training

Sampling-based exploration for reinforcement learning of dexterous manipulation