Data-driven discovery of PDEs in complex datasets

31 August 2018

Papers citing "Data-driven discovery of PDEs in complex datasets"

8 / 58 papers shown

Title
The data-driven physical-based equations discovery using evolutionary approach A. Hvatov M. Maslyaev 34 6 0 03 Apr 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 245 794 0 13 Mar 2020
Solving inverse-PDE problems with physics-aware neural networks Samira Pakravan Pouria A. Mistani M. Aragon-Calvo Frédéric Gibou AI4CE 42 54 0 10 Jan 2020
Learning Partial Differential Equations from Data Using Neural Networks Ali Hasan João M. Pereira Robert J. Ravier Sina Farsiu Vahid Tarokh 35 18 0 22 Oct 2019
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data Hao Xu Haibin Chang Dongxiao Zhang AI4CE 61 70 0 13 Aug 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 58 60 0 13 Jul 2019
Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks C. Michoski M. Milosavljević Todd A. Oliver D. Hatch AI4CE 48 22 0 10 May 2019
Data-driven PDE discovery with evolutionary approach M. Maslyaev A. Hvatov Anna V. Kaluzhnaya 52 25 0 19 Mar 2019