We introduce a framework for in-context (zero-shot) inference/estimation of drift and diffusion functions underlying SDEs from empirical data of different dimensionalities.

An efficient method for neural fields deformation based on local surface meshing.

We present a novel deep learning model for global river discharge and flood forecasting

We introduce a novel approach which leverages a convex potential for efficient sampling of EBMs.