A Block-Coordinate Approach of Multi-level Optimization with an Application to Physics-Informed Neural Networks

23 May 2023

Papers citing "A Block-Coordinate Approach of Multi-level Optimization with an Application to Physics-Informed Neural Networks"

8 / 8 papers shown

Title
A multilevel approach to accelerate the training of Transformers Guillaume Lauga Maël Chaumette Edgar Desainte-Maréville Étienne Lasalle Arthur Lebeurrier AI4CE 34 0 0 24 Apr 2025
Two-level deep domain decomposition method V. Dolean Serge Gratton Alexander Heinlein Valentin Mercier AI4CE 29 0 0 22 Aug 2024
A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems Chang-Ock Lee Youngkyu Lee Byungeun Ryoo 38 3 0 22 Jun 2024
Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies Alena Kopanicáková Hardik Kothari George Karniadakis Rolf Krause AI4CE 27 18 0 30 Jun 2023
Training of deep residual networks with stochastic MG/OPT Cyrill Planta Alena Kopanicáková Rolf Krause 27 3 0 09 Aug 2021
Globally Convergent Multilevel Training of Deep Residual Networks Alena Kopanicáková Rolf Krause 22 15 0 15 Jul 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 131 438 0 18 Dec 2020
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains Ziqi Liu Wei Cai Zhi-Qin John Xu AI4CE 176 122 0 22 Jul 2020