Ryan P Adams

A Single Architecture for Representing Invariance Under Any Space Group

Space Group Equivariant Crystal Diffusion

Efficiently Vectorized MCMC on Modern Accelerators

Real-time design of architectural structures with differentiable mechanics and neural networks

Graph Neural Networks Gone Hogwild

Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation

Designing Mechanical Meta-Materials by Learning Equivariant Flows