Context

We develop graphical conditional generative modeling to identify variables that affect the full conditional distribution of quantities of interest—supporting reduced, interpretable digital-twin surrogates.

Abstract

Digital twin modeling, including control and data assimilation under model …

Context

We introduce CHONKNORIS, an operator learning framework that can reach machine precision by learning Newton–Kantorovich update structure rather than regressing the solution operator directly.

Abstract

Neural operator learning methods have garnered significant attention in scientific …

Amaan Khan wrote a very nice blog post about our work, I highly recommend reading it! Here’s the link to the post https://binary-thoughts.ghost.io/when-machines-design-algorithms-understanding-computational-language-processing/