Multilevel CNNs for Parametric PDEs

Multilevel CNNs for Parametric PDEs

1 April 2023

Papers citing "Multilevel CNNs for Parametric PDEs"

9 / 9 papers shown

Title
Multi-level Neural Networks for high-dimensional parametric obstacle problems Martin Eigel Cosmas Heiß Janina Enrica Schutte AI4CE 26 0 0 07 Apr 2025
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements Janina Enrica Schutte Martin Eigel AI4CE 27 1 0 20 Aug 2024
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications Oisín M. Morrison F. Pichi J. Hesthaven AI4CE 33 6 0 05 Jun 2024
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks Ben Adcock Simone Brugiapaglia N. Dexter S. Moraga 42 4 0 04 Apr 2024
Adaptive Multilevel Neural Networks for Parametric PDEs with Error Estimation Janina Enrica Schutte Martin Eigel AI4CE 29 2 0 19 Mar 2024
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations Arnulf Jentzen Adrian Riekert Philippe von Wurstemberger 29 1 0 07 Feb 2023
SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs A. A. Ramabathiran P. Ramachandran PINN AI4CE 27 76 0 25 Feb 2021
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 220 2,287 0 18 Oct 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 195 5,176 0 16 Sep 2016