Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data

16 May 2020

Papers citing "Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data"

4 / 4 papers shown

Title
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis Yasamin Jalalian Juan Felipe Osorio Ramirez Alexander W. Hsu Bamdad Hosseini H. Owhadi 43 0 0 02 Mar 2025
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao-Lun Sun AI4CE 43 26 0 28 Jan 2022
Image features of a splashing drop on a solid surface extracted using a feedforward neural network Jingzu Yee A. Yamanaka Yoshiyuki Tagawa(田川義之) 19 14 0 24 Jan 2022