Ashesh Chattopadhyay

31 papers Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
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
2025	J	`jnl`	Deep learning the sources of MJO predictability: a spectral view of learned features. CoRR Lin Yao, Da Yang, James P. C. Duncan, Ashesh Chattopadhyay, Pedram Hassanzadeh, Wahid Bhimji, Bin Yu
2025	J	`jnl`	Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence. CoRR Moein Darman, Pedram Hassanzadeh, Laure Zanna, Ashesh Chattopadhyay
2025	J	`jnl`	Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity. CoRR Niloofar Asefi, Leonard Lupin-Jimenez, Tianning Wu, Ruoying He, Ashesh Chattopadhyay
2025	J	`jnl`	Generative forecasting with joint probability models. CoRR Patrick Wyrod, Ashesh Chattopadhyay, Daniele Venturi
2025	J	`jnl`	LUCIE-3D: A three-dimensional climate emulator for forced responses. CoRR Haiwen Guan, Troy Arcomano, Ashesh Chattopadhyay, Romit Maulik
2025	J	`jnl`	Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows. CoRR Anish Sambamurthy, Ashesh Chattopadhyay
2025	—	`conf`	SWR-Viz: AI-Assisted Interactive Visual Analytics Framework for Ship Weather Routing. ISVC (2) Subhashis Hazarika, Leonard Lupin-Jimenez, Rohit Vuppala, Ashesh Chattopadhyay, Hon Yung Wong
2025	J	`jnl`	SWR-Viz: AI-assisted Interactive Visual Analytics Framework for Ship Weather Routing. CoRR Subhashis Hazarika, Leonard Lupin-Jimenez, Rohit Vuppala, Ashesh Chattopadhyay, Hon Yung Wong
2025	J	`jnl`	Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators. CoRR Leonard Lupin-Jimenez, Moein Darman, Subhashis Hazarika, Tianning Wu, Michael Gray, Ruyoing He, Anthony Wong, Ashesh Chattopadhyay
2024	J	`jnl`	Can AI weather models predict out-of-distribution gray swan tropical cyclones? CoRR Y. Qiang Sun, Pedram Hassanzadeh, Mohsen Zand, Ashesh Chattopadhyay, Jonathan Weare, Dorian S. Abbot
2024	J	`jnl`	Improved deep learning of chaotic dynamical systems with multistep penalty losses. CoRR Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik
2024	J	`jnl`	LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles. CoRR Haiwen Guan, Troy Arcomano, Ashesh Chattopadhyay, Romit Maulik
2024	J	`jnl`	Partition of Unity Physics-Informed Neural Networks (POU-PINNs): An Unsupervised Framework for Physics-Informed Domain Decomposition and Mixtures of Experts. CoRR Arturo Rodriguez, Ashesh Chattopadhyay, Piyush Kumar, Luis F. Rodriguez, Vinod Kumar
2024	J	`jnl`	What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning. CoRR Arvind Mohan, Ashesh Chattopadhyay, Jonah Miller
2023	J	`jnl`	Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems. J. Comput. Phys. Ashesh Chattopadhyay, Ebrahim Nabizadeh, Eviatar Bach, Pedram Hassanzadeh
2023	J	`jnl`	Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges. CoRR Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh, Laura Zanna
2023	J	`jnl`	Long-term instabilities of deep learning-based digital twins of the climate system: The cause and a solution. CoRR Ashesh Chattopadhyay, Pedram Hassanzadeh
2023	J	`jnl`	OceanNet: A principled neural operator-based digital twin for regional oceans. CoRR Ashesh Chattopadhyay, Michael Gray, Tianning Wu, Anna B. Lowe, Ruoying He
2022	J	`jnl`	Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems. CoRR Ashesh Chattopadhyay, Ebrahim Nabizadeh, Eviatar Bach, Pedram Hassanzadeh
2022	J	`jnl`	Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow. CoRR Adam Subel, Yifei Guan, Ashesh Chattopadhyay, Pedram Hassanzadeh
2022	J	`jnl`	FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
2022	J	`jnl`	Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence. CoRR Ashesh Chattopadhyay, Jaideep Pathak, Ebrahim Nabizadeh, Wahid Bhimji, Pedram Hassanzadeh
2022	J	`jnl`	Stable J. Comput. Phys. Yifei Guan, Ashesh Chattopadhyay, Adam Subel, Pedram Hassanzadeh
2021	J	`jnl`	Closed-form discovery of structural errors in models of chaotic systems by integrating Bayesian sparse regression and data assimilation. CoRR Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh
2021	J	`jnl`	Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers. CoRR Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, Karthik Kashinath
2020	—	`conf`	Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence. CI Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Karthik Kashinath
2019	J	`jnl`	Analog forecasting of extreme-causing weather patterns using deep learning. CoRR Ashesh Chattopadhyay, Ebrahim Nabizadeh, Pedram Hassanzadeh
2019	J	`jnl`	Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM. CoRR Ashesh Chattopadhyay, Pedram Hassanzadeh, Krishna V. Palem, Devika Subramanian
2018	J	`jnl`	A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns. CoRR Ashesh Chattopadhyay, Pedram Hassanzadeh, Saba Pasha
2016	—	`conf`	A framework to integrate MFiX with Trilinos for high fidelity fluidized bed computations. HPEC V. M. Krushnarao Kotteda, Ashesh Chattopadhyay, Vinod Kumar, William F. Spotz