talks

June 2026: Generative Models as Flexible Priors for Atomistic Modeling - NIST AI for Materials Science Workshop

Talk

July 2025: Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional - Starkly Speaking Reading Group

Talk

April 2025: Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians - Starkly Speaking Reading Group

Talk

April 2024: Stability-Aware Training of Neural Network Interatomic Potentials with Differentiable Boltzmann Estimators - MIT Learning on Graphs and Geometry Reading Group

Slides | Talk