Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion

5 August 2022

Papers citing "Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion"

4 / 4 papers shown

Title
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Hao Xu Y. Chen Rui Cao Tianning Tang Mengge Du Jiacheng Li Adrian H. Callaghan Dongxiao Zhang 29 0 0 09 May 2025
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media Su Chen Yi Ding Hiroe Miyake Xiaojun Li 41 0 0 27 Sep 2024
Towards stable real-world equation discovery with assessing differentiating quality influence Mikhail Masliaev Ilya Markov Alexander Hvatov 27 0 0 09 Nov 2023
PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data R. Stephany Christopher Earls 16 16 0 09 Dec 2022