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Marrying Causal Representation Learning with Dynamical Systems for Science

Marrying Causal Representation Learning with Dynamical Systems for Science

22 May 2024
Dingling Yao
Caroline Muller
Francesco Locatello
    CML
    AI4CE
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Papers citing "Marrying Causal Representation Learning with Dynamical Systems for Science"

4 / 4 papers shown
Title
Sanity Checking Causal Representation Learning on a Simple Real-World System
Sanity Checking Causal Representation Learning on a Simple Real-World System
Juan L. Gamella
Simon Bing
Jakob Runge
CML
50
0
0
27 Feb 2025
A Sparsity Principle for Partially Observable Causal Representation
  Learning
A Sparsity Principle for Partially Observable Causal Representation Learning
Danru Xu
Dingling Yao
Sébastien Lachapelle
Perouz Taslakian
Julius von Kügelgen
Francesco Locatello
Sara Magliacane
CML
27
13
0
13 Mar 2024
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
236
207
0
17 Feb 2021
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
173
313
0
07 Feb 2020
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