Our latest work
Featured work from the group members
*
AbODE: Ab initio Antibody Design using Conjoined ODEs
we propose a generative model for antibody design using conjoined interacting neural ODEs
Modular Flows: Differential Molecular Generation
We propose generative graph normalizing flow models, based on a system of coupled node ODEs, that repeatedly reconcile locally toward globally aligned densities for high quality molecular generation.
Provably expressive temporal graph networks
We analyze the representational power and limits of modern models for (event-based) temporal graphs. We leverage our theoretical insights to introduce an architecture that is provably more expressive than existing ones.
Why GANs are overkill for NLP
This work offers a novel theoretical perspective on why, despite numerous attempts, adversarial approaches to generative modeling …
Join Us
Discover various ways to work with us.