Solving PDE-constrained Control Problems Using Operator Learning

9 November 2021

Papers citing "Solving PDE-constrained Control Problems Using Operator Learning"

9 / 9 papers shown

Title
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control Peiyan Hu Xiaowei Qian Wenhao Deng Rui Wang Haodong Feng ... Tao Zhang Long Wei Yue Wang Zhi-Ming Ma Tailin Wu AI4CE 120 0 0 04 Feb 2025
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion Zihao Xu Yuzhi Tang Bowen Xu Qingquan Li DiffM 62 0 0 20 Jan 2025
Solving Poisson Equations using Neural Walk-on-Spheres Hong Chul Nam Julius Berner Anima Anandkumar 34 3 0 05 Jun 2024
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems Yongcun Song Xiaoming Yuan Hangrui Yue AI4CE 19 2 0 01 Jul 2023
Super-Resolution Neural Operator Min Wei Xuesong Zhang SupR 42 41 0 05 Mar 2023
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 53 118 0 30 Sep 2022
Physics-informed neural networks for PDE-constrained optimization and control Jostein Barry-Straume A. Sarshar Andrey A. Popov Adrian Sandu PINN AI4CE 29 14 0 06 May 2022
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 217 2,287 0 18 Oct 2020
Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach H. Hwang Jin Woo Jang Hyeontae Jo Jae Yong Lee 149 36 0 22 Nov 2019