Learning stable and predictive structures in kinetic systems: Benefits
of a causal approach

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Learning stable and predictive structures in kinetic systems: Benefits of a causal approach

28 October 2018

Niklas Pfister

Stefan Bauer

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Papers citing "Learning stable and predictive structures in kinetic systems: Benefits of a causal approach"

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Title
Invariant Causal Mechanisms through Distribution Matching Mathieu Chevalley Charlotte Bunne Andreas Krause Stefan Bauer OOD CML 66 42 0 23 Jun 2022
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 118 25 0 23 Jun 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 85 15 0 01 Jun 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 155 322 0 22 Feb 2021
Deconfounding and Causal Regularization for Stability and External Validity Peter Buhlmann Domagoj Cevid CML 49 11 0 14 Aug 2020
Distributional robustness of K-class estimators and the PULSE M. E. Jakobsen J. Peters OOD 67 29 0 07 May 2020
Physics-informed learning of governing equations from scarce data Zhao Chen Yang Liu Hao Sun PINN AI4CE 114 399 0 05 May 2020
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables Rune Christiansen J. Peters CML 26 14 0 16 Aug 2018
Causal Modeling of Dynamical Systems Stephan Bongers Tineke Blom Joris M. Mooij 73 24 0 23 Mar 2018
Foundations of Structural Causal Models with Cycles and Latent Variables Stephan Bongers Patrick Forré J. Peters Joris M. Mooij 93 167 0 18 Nov 2016