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Vivek Oommen

Showing results (1-10 of 5) with videos related to

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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.
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.
Annals of Indian Academy of Neurology|February 21, 2012
Risk factors of childhood epilepsy in KeralaThomas Varghese Attumalil, Anil Sundaram, Vivek Oommen Varghese, et al.
Plos Computational Biology|October 9, 2025
Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operatorsDavid S Li, Somdatta Goswami, Qianying Cao, et al.
Machine Learning for Computational Science and Engineering|June 25, 2026
From PINNs to PIKANs: recent advances in physics-informed machine learningJuan Diego Toscano, Vivek Oommen, Alan John Varghese, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
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.
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.
Annals of Indian Academy of Neurology|February 21, 2012
Risk factors of childhood epilepsy in KeralaThomas Varghese Attumalil, Anil Sundaram, Vivek Oommen Varghese, et al.
Plos Computational Biology|October 9, 2025
Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operatorsDavid S Li, Somdatta Goswami, Qianying Cao, et al.
Machine Learning for Computational Science and Engineering|June 25, 2026
From PINNs to PIKANs: recent advances in physics-informed machine learningJuan Diego Toscano, Vivek Oommen, Alan John Varghese, et al.
Pageof 1