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Complexity Research Team (CRT)

"Chaos is the beginning, simplicity is the end.", M.C. Escher

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(PINNs) – Physics Informed Neural Networks: Algorithms, Theory, and Applications

Posted on 11/11/202008/03/2022 by karaka
(PINNs) – Physics Informed Neural Networks: Algorithms, Theory, and Applications, MSML2020 Invited Talk by Prof. George Karniadakis, Brown University
Posted in Machine Learning, Physics Tagged Machine Learning, Neural Networks, Physics

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Complexity theory, time series analysis and Tsallis q-entropy principle part one: theoretical aspects

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Machine Learning Mastery

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