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LEADS: Learning Dynamical Systems that Generalize Across Environments

LEADS: Learning Dynamical Systems that Generalize Across Environments

8 June 2021
Yuan Yin
Ibrahim Ayed
Emmanuel de Bézenac
Nicolas Baskiotis
Patrick Gallinari
    OOD
ArXivPDFHTML

Papers citing "LEADS: Learning Dynamical Systems that Generalize Across Environments"

12 / 12 papers shown
Title
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani
Josue Nassar
Hyungju Jeon
Matthew Dowling
Il Memming Park
31
1
0
07 Oct 2024
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
39
3
0
07 Oct 2024
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs
Louis Serrano
Armand K. Koupai
Thomas X. Wang
Pierre Erbacher
Patrick Gallinari
AI4CE
38
3
0
04 Oct 2024
Strategies for Pretraining Neural Operators
Strategies for Pretraining Neural Operators
Anthony Y. Zhou
Cooper Lorsung
AmirPouya Hemmasian
Amir Barati Farimani
AI4CE
41
6
0
12 Jun 2024
Masked Autoencoders are PDE Learners
Masked Autoencoders are PDE Learners
Anthony Y. Zhou
A. Farimani
AI4CE
38
7
0
26 Mar 2024
Interpretable Meta-Learning of Physical Systems
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke
Marc Lelarge
AI4CE
30
5
0
01 Dec 2023
Phase2vec: Dynamical systems embedding with a physics-informed
  convolutional network
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network
Matthew Ricci
Noa Moriel
Zoe Piran
Mor Nitzan
AI4CE
24
5
0
07 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via
  Meta Learning
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
Yeongwoo Song
Hawoong Jeong
OOD
AI4CE
24
1
0
02 Dec 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CE
AIMat
29
18
0
27 Oct 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
238
2,298
0
18 Oct 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
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
365
11,700
0
09 Mar 2017
1