Diffusion model based data generation for partial differential equations. - Rucha Apte; Sheel Nidhan; Rishikesh Ranade; Jay Pathak (CoRR, 2023)

Sampling-based Distributed Training with Message Passing Neural Network. - Priyesh Kakka; Sheel Nidhan; Rishikesh Ranade; Jonathan F. MacArt (CoRR, 2024)

A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations. - Sheel Nidhan; Haoliang Jiang; Lalit Ghule; Clancy Umphrey; Rishikesh Ranade; Jay Pathak (CoRR, 2024)