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MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning

MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning

6 March 2023
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
    OOD
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Papers citing "MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning"

11 / 11 papers shown
Title
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner
Elias Weber
G. Koppe
Daniel Durstewitz
AI4TS
AI4CE
31
2
0
07 Oct 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial
  Differential Equations
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang
Jacob Helwig
Yu-Ching Lin
Yaochen Xie
Cong Fu
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
37
6
0
28 Mar 2024
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
Krzysztof Kacprzyk
Samuel Holt
Jeroen Berrevoets
Zhaozhi Qian
M. Schaar
59
4
0
16 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Alexander Göring
Florian Hess
Manuel Brenner
Zahra Monfared
Daniel Durstewitz
AI4CE
30
10
0
28 Feb 2024
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
73
185
0
19 Apr 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
127
422
0
10 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
Masked Gradient-Based Causal Structure Learning
Masked Gradient-Based Causal Structure Learning
Ignavier Ng
Shengyu Zhu
Zhuangyan Fang
Haoyang Li
Zhitang Chen
Jun Wang
CML
83
117
0
18 Oct 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
716
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
227
7,903
0
13 Jun 2015
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