3 papers
cond-mat.mtrl-sci2025
Space Group Equivariant Crystal Diffusion
Rees Chang, Angela Pak, Alex Guerra +4
Accelerating inverse design of crystalline materials with generative models has significant implications for a range of technologies. Unlike other atomic systems, 3D crystals are i…
physics.optics2025
Nonlinear Computation with Linear Optics via Source-Position Encoding
N. Richardson, C. Bosch, R. P. Adams
Optical computing systems provide an alternate hardware model which appears to be aligned with the demands of neural network workloads. However, the challenge of implementing energ…
cs.LG2025
Graph Neural Networks Gone Hogwild
Olga Solodova, Nick Richardson, Deniz Oktay +1
Graph neural networks (GNNs) appear to be powerful tools to learn state representations for agents in distributed, decentralized multi-agent systems, but generate catastrophically…