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We investigate the relationship between system identification and intervention design in dynamical systems.
The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA
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Patrik Hoyer, Dominik Janzing, Joris M Mooij, Jonas Peters, and Bernhard Schölkopf · 2008
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Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
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Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style, June 2021
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I Don’t Need $\mathbf{u}$: Identifiable Non-Linear ICA Without Side Information
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Learning Temporally Causal Latent Processes from General Temporal Data
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Learning Causal Structures Using Regression Invariance
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