49:37
George Karniadakis - Approximating functions, functionals and operators using DNNs
One world theoretical machine learning
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1:03:21
George Karniadakis: Approximating functions, functionals and operators with neural networks
JHU Mathematical Institute for Data Science
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1:15:29
DDPS | Approximating functions, functionals, and operators using deep neural networks
Inside Livermore Lab
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1:18:53
George Karniadakis - From PINNs to DeepOnets
Physics Informed Machine Learning
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1:07:17
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1:11:24
George Karniadakis: Data-Centric Engineering Webinar Series
Cambridge University Press
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1:10:19
Seminario | From PINNs To DeepOnets... - George Em Karniadakis
PoliTo Teaching
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35:11
kgml2021: Closing Session (ML2), George Karniadakis, Brown University
KGML Workshop
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34:58
Hands-on tutorial 1: Approximating Functions with Neural Network
AIM for Composites Energy Frontier Research Center
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1:31:17
From Neural PDEs to Neural Operators: Blending data and physics by Prof. George Karniadakis
Εθνικό Μετσόβιο Πολυτεχνείο - NTUA
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2:04:46
Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 1
Centre International de Rencontres Mathématiques
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27:48
Fractional physics informed neural networks, by Prof. George Karniadakis & Mr. Liu Yang
One Nonlocal World
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