Generative Models

The Devil is in the Details: Spatial and Temporal Super-Resolution of Global Climate Models using Adversarial Deep Learning

Speaker(s): Sanjeev Raja

Generating Molecular Conformations via Normalizing Flows and Neural ODEs

Post accepted to the ICLR 2022 Blog Track. In this post, we provide an in-depth overview of methods outlined in the paper “Learning Neural Generative Dynamics for Molecular Conformation Generation,” discuss the impact of the work in the context of other conformation generation approaches, and additionally discuss future potential applications to improve the diversity and stability of generated conformations.