Aniruddha Bora

According to our database, Aniruddha Bora authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Mitigating spectral bias in neural operators via high-frequency scaling for physical systems.

Siavash Khodakarami, Vivek Oommen, Aniruddha Bora, George Em Karniadakis

Neural Networks, 2026

2025

Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing.

Ramona Rubini, Siavash Khodakarami, Aniruddha Bora, George Em Karniadakis, Michele Dassisti

CoRR, September, 2025

Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction.

Vivek Oommen, Siavash Khodakarami, Aniruddha Bora, Zhicheng Wang, George Em Karniadakis

CoRR, September, 2025

XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change.

Jiawen Wei, Aniruddha Bora, Vivek Oommen, Chenyu Dong, Juntao Yang, Jeff Adie, Chen Chen, Simon See, George E. Karniadakis, Gianmarco Mengaldo

CoRR, March, 2025

2024

TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers.

Alan John Varghese, Aniruddha Bora, Mengjia Xu, George Em Karniadakis

Neural Networks, 2024

Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling.

Vivek Oommen, Aniruddha Bora, Zhen Zhang, George Em Karniadakis

CoRR, 2024

2023

Learning bias corrections for climate models using deep neural operators.

Aniruddha Bora, Khemraj Shukla, Shixuan Zhang, Bryce Harrop, Ruby Leung, George Em Karniadakis

CoRR, 2023

2022

Physics-Informed Deep Neural Operator Networks.

Somdatta Goswami, Aniruddha Bora, Yue Yu, George Em Karniadakis

CoRR, 2022

2020

Gradient preserved method for solving heat conduction equation with variable coefficients in double layers.

Aniruddha Bora, Weizhong Dai

Appl. Math. Comput., 2020