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Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

4 June 2023

Papers citing "Learning Linear Causal Representations from Interventions under General Nonlinear Mixing"

20 / 20 papers shown

Title
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models Armin Kekić Sergio Hernan Garrido Mejia Bernhard Schölkopf CML 132 0 0 05 Jun 2025
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective Beatrix M. G. Nielsen Emanuele Marconato Andrea Dittadi Luigi Gresele 64 0 0 04 Jun 2025
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations Dingling Yao Shimeng Huang Riccardo Cadei Kun Zhang Francesco Locatello CML 159 0 0 23 May 2025
Towards Identifiability of Interventional Stochastic Differential Equations Aaron Zweig Zaikang Lin Elham Azizi David A. Knowles 87 1 0 21 May 2025
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 451 0 0 02 May 2025
Robustness of Nonlinear Representation Learning Simon Buchholz Bernhard Schölkopf OOD 417 4 0 19 Mar 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 191 8 0 13 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 465 1 0 12 Mar 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 213 1 0 27 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 153 3 0 04 Feb 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 260 0 0 31 Jan 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 98 0 0 21 Jan 2025
ExDAG: Exact learning of DAGs Pavel Rytíř Ales Wodecki Georgios Korpas CML 90 1 0 21 Jun 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 146 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 144 0 0 24 May 2024
Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao Caroline Muller Francesco Locatello CML AI4CE 165 10 0 22 May 2024
Object-centric architectures enable efficient causal representation learning Amin Mansouri Jason S. Hartford Yan Zhang Yoshua Bengio CML OCL OOD 104 18 0 29 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 106 7 0 11 Oct 2023
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 87 16 0 06 Oct 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 186 65 0 01 Jun 2023