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Linear Causal Disentanglement via Interventions

29 November 2022

Papers citing "Linear Causal Disentanglement via Interventions"

23 / 23 papers shown

Title
Towards Identifiability of Interventional Stochastic Differential Equations Aaron Zweig Zaikang Lin Elham Azizi David A. Knowles 68 1 0 21 May 2025
Robustness of Nonlinear Representation Learning Simon Buchholz Bernhard Schölkopf OOD 412 4 0 19 Mar 2025
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? Yuhang Liu Dong Gong Erdun Gao Zhen Zhang Zhen Zhang Biwei Huang Anton van den Hengel Javen Qinfeng Shi Javen Qinfeng Shi 453 0 0 12 Mar 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 190 1 0 27 Feb 2025
Analyzing (In)Abilities of SAEs via Formal Languages Abhinav Menon Manish Shrivastava David M. Krueger Ekdeep Singh Lubana 93 8 0 15 Oct 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 109 6 0 27 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 105 0 0 24 May 2024
Interventional Causal Representation Learning Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 130 95 0 24 Sep 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 105 47 0 02 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 101 61 0 02 Jun 2022
Weakly supervised causal representation learning Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 90 131 0 30 Mar 2022
Scalable Intervention Target Estimation in Linear Models Burak Varici Karthikeyan Shanmugam P. Sattigeri A. Tajer CML 52 10 0 15 Nov 2021
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning Kartik Ahuja Jason S. Hartford Yoshua Bengio 88 39 0 29 Oct 2021
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 92 49 0 20 Oct 2021
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 78 48 0 29 Jun 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 319 223 0 17 Feb 2021
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 73 598 0 10 Jul 2019
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning Aapo Hyvarinen Hiroaki Sasaki Richard Turner OOD CML 100 331 0 22 May 2018
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions Karren D. Yang Abigail Katoff Caroline Uhler CML 57 103 0 17 Feb 2018
Anchored Discrete Factor Analysis Yoni Halpern Steven Horng David Sontag CML 49 17 0 10 Nov 2015
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables F. Eberhardt Clark Glymour R. Scheines 99 155 0 04 Jul 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,460 0 24 Jun 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 101 426 0 14 Apr 2011