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2007.02848
Cited By
Weak SINDy For Partial Differential Equations
6 July 2020
Daniel Messenger
David M. Bortz
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Papers citing
"Weak SINDy For Partial Differential Equations"
25 / 75 papers shown
Title
PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data
R. Stephany
Christopher Earls
16
16
0
09 Dec 2022
Asymptotic consistency of the WSINDy algorithm in the limit of continuum data
Daniel Messenger
David M. Bortz
51
13
0
29 Nov 2022
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants
Liyao (Mars) Gao
J. Nathan Kutz
AI4CE
35
20
0
19 Nov 2022
Bayesian Learning of Coupled Biogeochemical-Physical Models
Abhinav Gupta
Pierre FJ Lermusiaux
22
5
0
12 Nov 2022
WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming
Mengyi Tang
Wenjing Liao
R. Kuske
S. Kang
17
16
0
06 Nov 2022
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning
Mengge Du
Yuntian Chen
Dong-juan Zhang
33
0
0
04 Oct 2022
Convergence of weak-SINDy Surrogate Models
Benjamin P. Russo
M. P. Laiu
22
8
0
30 Sep 2022
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion
Hao Xu
Junsheng Zeng
Dongxiao Zhang
DiffM
33
19
0
05 Aug 2022
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
Pongpisit Thanasutives
Takeshi Morita
M. Numao
Ken-ichi Fukui
PINN
AI4CE
31
18
0
26 Jun 2022
D-CIPHER: Discovery of Closed-form Partial Differential Equations
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
AI4CE
30
1
0
21 Jun 2022
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization
Dimitris Bertsimas
Wes Gurnee
AI4CE
38
43
0
01 Jun 2022
Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular Population
Daniel Messenger
Graycen E. Wheeler
X. Liu
David M. Bortz
12
18
0
29 Apr 2022
Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems
Alec J. Linot
J. Burby
Q. Tang
Prasanna Balaprakash
M. Graham
R. Maulik
AI4TS
22
74
0
29 Mar 2022
Online Weak-form Sparse Identification of Partial Differential Equations
Daniel Messenger
E. Dall’Anese
David M. Bortz
43
13
0
08 Mar 2022
Machine Learning in Heterogeneous Porous Materials
Martha DÉli
H. Deng
Cedric G. Fraces
K. Garikipati
L. Graham‐Brady
...
H. Tchelepi
B. Važić
Hari S. Viswanathan
H. Yoon
P. Zarzycki
AI4CE
38
9
0
04 Feb 2022
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study
A. Cortiella
K. Park
Alireza Doostan
19
15
0
29 Jan 2022
PySINDy: A comprehensive Python package for robust sparse system identification
A. Kaptanoglu
Brian M. de Silva
Urban Fasel
Kadierdan Kaheman
Andy J. Goldschmidt
...
Zachary G. Nicolaou
Kathleen P. Champion
Jean-Christophe Loiseau
J. Nathan Kutz
Steven L. Brunton
AI4CE
44
145
0
12 Nov 2021
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning
R. Stephany
Christopher Earls
DiffM
AIMat
25
29
0
01 Nov 2021
Learning Mean-Field Equations from Particle Data Using WSINDy
Daniel Messenger
David M. Bortz
34
37
0
14 Oct 2021
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case
R. Mojgani
Ashesh Chattopadhyay
Pedram Hassanzadeh
27
15
0
01 Oct 2021
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)
Yuntian Chen
Yingtao Luo
Qiang Liu
Hao Xu
Dongxiao Zhang
AI4CE
30
57
0
09 Jun 2021
Robust discovery of partial differential equations in complex situations
Hao Xu
Dongxiao Zhang
AI4CE
25
28
0
31 May 2021
Model discovery in the sparse sampling regime
G. Both
Georges Tod
R. Kusters
33
3
0
02 May 2021
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
Kadierdan Kaheman
Steven L. Brunton
J. Nathan Kutz
14
83
0
12 Sep 2020
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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