Deep Operator Learning Lessens the Curse of Dimensionality for PDEs

28 January 2023

Papers citing "Deep Operator Learning Lessens the Curse of Dimensionality for PDEs"

4 / 4 papers shown

Title
Operator learning for hyperbolic partial differential equations Christopher Wang Alex Townsend 34 2 0 29 Dec 2023
Neural Network Approximation for Pessimistic Offline Reinforcement Learning Di Wu Yuling Jiao Li Shen Haizhao Yang Xiliang Lu OffRL 29 1 0 19 Dec 2023
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations Arnulf Jentzen Adrian Riekert Philippe von Wurstemberger 26 1 0 07 Feb 2023
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 208 2,287 0 18 Oct 2020