We reduce training variance in equivariant generative models using a low-variance gradient estimator, improving stability and performance across molecular, crystal, and protein generation tasks.

We introduce CALM-PDE, a model based on continuous convolution for discretization-agnostic solving of time-dependent partial differential equations, which achieves strong performance in fluid dynamics simulations.