Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems Tristan Luca Saidi, Gonzalo Mena, Larry Wasserman, and 1 more author 2026 On the Differential-Geometric Equivalence of Hellinger-Kantorovich and Cone-Wasserstein Spaces Tristan Luca Saidi, Gonzalo Mena, and Florian Gunsilius 2026 Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings Tristan Luca Saidi, Abigail Hickok, Bastian Rieck, and 1 more author PNAS, 2025 DOI Recovering Manifold Structure Using Ollivier Ricci Curvature Tristan Luca Saidi, Abigail Hickok, and Andrew J. Blumberg ICLR, 2025 Ab initio structure solutions from nanocrystalline powder diffraction data via diffusion models Gabe Guo, Tristan Luca Saidi, Maxwell W Terban, and 3 more authors Nature Materials, 2025 RxR: Rapid exploration for reinforcement learning via sampling-based reset distributions and imitation pre-training Gagan Khandate, Tristan L Saidi, Siqi Shang, and 5 more authors Autonomous Robots, 2024 Sampling-based exploration for reinforcement learning of dexterous manipulation Gagan Khandate, Siqi Shang, Eric T Chang, and 5 more authors arXiv preprint arXiv:2303.03486, 2023