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DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in
  Spatiotemporal Systems

DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems

25 September 2019
Adam T. Rupe
Nalini Kumar
V. Epifanov
K. Kashinath
O. Pavlyk
F. Schlimbach
M. Patwary
Sergey Maidanov
Victor W. Lee
M. Prabhat
James P. Crutchfield
    AI4CE
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Papers citing "DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems"

6 / 6 papers shown
Title
Unsupervised Discovery of Extreme Weather Events Using Universal
  Representations of Emergent Organization
Unsupervised Discovery of Extreme Weather Events Using Universal Representations of Emergent Organization
Adam T. Rupe
K. Kashinath
Nalini Kumar
James P. Crutchfield
14
0
0
25 Apr 2023
Mixed moving average field guided learning for spatio-temporal data
Mixed moving average field guided learning for spatio-temporal data
I. Curato
O. Furat
Lorenzo Proietti
Bennet Stroeh
AI4TS
23
2
0
02 Jan 2023
Exploring Predictive States via Cantor Embeddings and Wasserstein
  Distance
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance
S. Loomis
James P. Crutchfield
24
2
0
09 Jun 2022
Topology, Convergence, and Reconstruction of Predictive States
Topology, Convergence, and Reconstruction of Predictive States
S. Loomis
James P. Crutchfield
AI4CE
11
7
0
19 Sep 2021
Discovering Causal Structure with Reproducing-Kernel Hilbert Space
  $ε$-Machines
Discovering Causal Structure with Reproducing-Kernel Hilbert Space εεε-Machines
N. Brodu
James P. Crutchfield
CML
13
16
0
23 Nov 2020
Spacetime Autoencoders Using Local Causal States
Spacetime Autoencoders Using Local Causal States
Adam T. Rupe
James P. Crutchfield
CML
17
2
0
12 Oct 2020
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