Gradient preserved method for solving heat conduction equation with variable coefficients in double layers. - Aniruddha Bora; Weizhong Dai (Appl. Math. Comput., 2020)

Physics-Informed Deep Neural Operator Networks. - Somdatta Goswami; Aniruddha Bora; Yue Yu; George Em Karniadakis (CoRR, 2022)

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)

Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling. - Vivek Oommen; Aniruddha Bora; Zhen Zhang 029; George Em Karniadakis (CoRR, 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)

XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change. - Jiawen Wei 002; Aniruddha Bora; Vivek Oommen; Chenyu Dong; Juntao Yang; Jeff Adie; Chen Chen; Simon See; George E. Karniadakis; Gianmarco Mengaldo (CoRR, 2025)

Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems. - Siavash Khodakarami; Vivek Oommen; Aniruddha Bora; George Em Karniadakis (CoRR, 2025)