Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference

7 December 2015

Papers citing "Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference"

9 / 9 papers shown

Title
Robustness of Nonlinear Representation Learning Simon Buchholz Bernhard Schölkopf OOD 414 4 0 19 Mar 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 235 0 0 31 Jan 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 303 2 0 07 May 2024
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 100 46 0 01 Apr 2022
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 105 102 0 09 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
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 101 63 0 07 Oct 2020
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 106 464 0 24 Nov 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 61 5 0 02 Jul 2019