Computing Anti-Derivatives using Deep Neural Networks. - Dibyajyoti Chakraborty; Shivasubramanian Gopalakrishnan (CoRR, 2022)

A note on the error analysis of data-driven closure models for large eddy simulations of turbulence. - Dibyajyoti Chakraborty; Shivam Barwey; Hong Zhang; Romit Maulik (CoRR, 2024)

Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations. - Dibyajyoti Chakraborty; Seung Whan Chung; Romit Maulik (CoRR, 2024)

Improved deep learning of chaotic dynamical systems with multistep penalty losses. - Dibyajyoti Chakraborty; Seung Whan Chung; Ashesh Chattopadhyay; Romit Maulik (CoRR, 2024)

Binned Spectral Power Loss for Improved Prediction of Chaotic Systems. - Dibyajyoti Chakraborty; Arvind T. Mohan; Romit Maulik (CoRR, 2025)

Multimodal Atmospheric Super-Resolution With Deep Generative Models. - Dibyajyoti Chakraborty; Haiwen Guan; Jason Stock; Troy Arcomano; Guido Cervone; Romit Maulik (CoRR, 2025)