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Learning Latent Dynamics via Invariant Decomposition and
  (Spatio-)Temporal Transformers

Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers

21 June 2023
Kai Lagemann
C. Lagemann
Swarnava Mukherjee
ArXivPDFHTML

Papers citing "Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers"

5 / 5 papers shown
Title
Uncovering wall-shear stress dynamics from neural-network enhanced fluid
  flow measurements
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements
Esther Lagemann
Steven L. Brunton
Christian Lagemann
11
4
0
17 Oct 2023
Latent Neural ODEs with Sparse Bayesian Multiple Shooting
Latent Neural ODEs with Sparse Bayesian Multiple Shooting
V. Iakovlev
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
BDL
17
11
0
07 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective
Neural Conservation Laws: A Divergence-Free Perspective
Jack Richter-Powell
Y. Lipman
Ricky T. Q. Chen
33
48
0
04 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
197
2,254
0
18 Oct 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
121
419
0
10 Mar 2020
1