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George Karniadakis - Approximating functions, functionals and operators using DNNs
Approximating Functions, Functionals & Operators Using DNN for Diverse Applications - G. Karniadakis
DDPS | Approximating functions, functionals, and operators using deep neural networks
George Karniadakis: Approximating functions, functionals and operators with neural networks
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.
George Karniadakis - From PINNs to DeepOnets
George Karniadakis: Data-Centric Engineering Webinar Series
Seminario | From PINNs To DeepOnets... - George Em Karniadakis
AI in the Sciences and Engineering Keynote : George Karniadakis
kgml2021: Closing Session (ML2), George Karniadakis, Brown University
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators
Fractional physics informed neural networks, by Prof. George Karniadakis & Mr. Liu Yang