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Aniruddha Bora

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Neural Networks : the Official Journal of the International Neural Network Society|September 4, 2025
Mitigating spectral bias in neural operators via high-frequency scaling for physical systemsSiavash Khodakarami, Vivek Oommen, Aniruddha Bora, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 30, 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersAlan John Varghese, Aniruddha Bora, Mengjia Xu, et al.
Nature Communications|March 10, 2026
Learning turbulent flows with generative models for super resolution and sparse flow reconstructionVivek Oommen, Siavash Khodakarami, Aniruddha Bora, et al.
Advanced Materials (Deerfield Beach, Fla.)|April 21, 2025
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural OperatorsHanxun Jin, Boyu Zhang, Qianying Cao, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|September 4, 2025
Mitigating spectral bias in neural operators via high-frequency scaling for physical systemsSiavash Khodakarami, Vivek Oommen, Aniruddha Bora, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 30, 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersAlan John Varghese, Aniruddha Bora, Mengjia Xu, et al.
Nature Communications|March 10, 2026
Learning turbulent flows with generative models for super resolution and sparse flow reconstructionVivek Oommen, Siavash Khodakarami, Aniruddha Bora, et al.
Advanced Materials (Deerfield Beach, Fla.)|April 21, 2025
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural OperatorsHanxun Jin, Boyu Zhang, Qianying Cao, et al.
Pageof 1