Dibyajyoti Chakraborty

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Diffusion Posterior Sampling for Data and Model Fusion of Complex Nonlinear Dynamical Systems.
CoRR
Dibyajyoti Chakraborty, Hojin Kim, Romit Maulik
2026 J jnl
Binned spectral power loss for improved prediction of chaotic systems.
J. Comput. Phys.
Dibyajyoti Chakraborty, Arvind T. Mohan, Romit Maulik
2026 J jnl
High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator.
CoRR
Haiwen Guan, Moein Darman, Dibyajyoti Chakraborty, Troy Arcomano, Ashesh Chattopadhyay, Romit Maulik
2026 J jnl
SC3D: Dynamic and Differentiable Causal Discovery for Temporal and Instantaneous Graphs.
CoRR
Sourajit Das, Dibyajyoti Chakraborty, Romit Maulik
2025 J jnl
Binned Spectral Power Loss for Improved Prediction of Chaotic Systems.
CoRR
Dibyajyoti Chakraborty, Arvind T. Mohan, Romit Maulik
2025 J jnl
MoWE : A Mixture of Weather Experts.
CoRR
Dibyajyoti Chakraborty, Romit Maulik, Peter Harrington, Dallas Foster, Mohammad Amin Nabian, Sanjay Choudhry
2025 J jnl
Multimodal Atmospheric Super-Resolution With Deep Generative Models.
CoRR
Dibyajyoti Chakraborty, Haiwen Guan, Jason Stock, Troy Arcomano, Guido Cervone, Romit Maulik
2024 J jnl
A note on the error analysis of data-driven closure models for large eddy simulations of turbulence.
CoRR
Dibyajyoti Chakraborty, Shivam Barwey, Hong Zhang, Romit Maulik
2024 J jnl
Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations.
CoRR
Dibyajyoti Chakraborty, Seung Whan Chung, Romit Maulik
2024 J jnl
Improved deep learning of chaotic dynamical systems with multistep penalty losses.
CoRR
Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik
2022 J jnl
Computing Anti-Derivatives using Deep Neural Networks.
CoRR
Dibyajyoti Chakraborty, Shivasubramanian Gopalakrishnan