Nonparametric Identifiability of Causal Representations from Unknown Interventions

1 June 2023

Papers citing "Nonparametric Identifiability of Causal Representations from Unknown Interventions"

49 / 49 papers shown

Title
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 38 0 0 17 Apr 2025
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning Yichao Cai Yuhang Liu Erdun Gao T. Jiang Zhen Zhang Anton van den Hengel J. Shi 55 0 0 14 Apr 2025
Robustness of Nonlinear Representation Learning Simon Buchholz Bernhard Schölkopf OOD 96 3 0 19 Mar 2025
On the Identifiability of Causal Abstractions Xiusi Li Sékou-Oumar Kaba Siamak Ravanbakhsh CML 64 0 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 Biwei Huang Mingming Gong Anton van den Hengel Javen Qinfeng Shi J. Shi 110 0 0 12 Mar 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 50 0 0 27 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 53 2 0 16 Feb 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 101 0 0 31 Jan 2025
Identifying General Mechanism Shifts in Linear Causal Representations Tianyu Chen Kevin Bello Francesco Locatello Bryon Aragam Pradeep Ravikumar OOD CML 26 3 0 31 Oct 2024
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data Ryan Welch Jiaqi Zhang Caroline Uhler CML OOD 43 1 0 31 Oct 2024
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling Emanuele Marconato Sébastien Lachapelle Sebastian Weichwald Luigi Gresele 64 3 0 30 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Continual Learning of Nonlinear Independent Representations Boyang Sun Ignavier Ng Guangyi Chen Yifan Shen Qirong Ho Kun Zhang OOD CML 31 0 0 11 Aug 2024
Linear causal disentanglement via higher-order cumulants Paula Leyes Carreno Chiara Meroni A. Seigal CML 23 0 0 05 Jul 2024
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators Ori Linial Guy Tennenholtz Uri Shalit OffRL 34 1 0 30 Jun 2024
Linear Causal Representation Learning from Unknown Multi-node Interventions Burak Varıcı Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 22 1 0 09 Jun 2024
Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao Caroline Muller Francesco Locatello CML AI4CE 35 6 0 22 May 2024
Propensity Score Alignment of Unpaired Multimodal Data Johnny Xi Jason S. Hartford 19 2 0 02 Apr 2024
A Sparsity Principle for Partially Observable Causal Representation Learning Danru Xu Dingling Yao Sébastien Lachapelle Perouz Taslakian Julius von Kügelgen Francesco Locatello Sara Magliacane CML 27 13 0 13 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 42 0 0 16 Feb 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models Goutham Rajendran Simon Buchholz Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar AI4CE 83 21 0 14 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 30 5 0 07 Feb 2024
Causal Representation Learning from Multiple Distributions: A General Setting Kun Zhang Shaoan Xie Ignavier Ng Yujia Zheng CML OOD 18 18 0 07 Feb 2024
Toward the Identifiability of Comparative Deep Generative Models Romain Lopez Jan-Christian Huetter Ehsan Hajiramezanali Jonathan Pritchard Aviv Regev 18 2 0 29 Jan 2024
Targeted Reduction of Causal Models Armin Kekić Bernhard Schölkopf M. Besserve CML 40 9 0 30 Nov 2023
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis Goutham Rajendran Patrik Reizinger Wieland Brendel Pradeep Ravikumar CML 32 8 0 29 Nov 2023
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity Jikai Jin Vasilis Syrgkanis CML 17 5 0 21 Nov 2023
Multi-View Causal Representation Learning with Partial Observability Dingling Yao Danru Xu Sébastien Lachapelle Sara Magliacane Perouz Taslakian Georg Martius Julius von Kügelgen Francesco Locatello CML 29 30 0 07 Nov 2023
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions Simon Bing Urmi Ninad Jonas Wahl Jakob Runge CML 8 5 0 05 Nov 2023
Object-centric architectures enable efficient causal representation learning Amin Mansouri Jason S. Hartford Yan Zhang Yoshua Bengio CML OCL OOD 16 15 0 29 Oct 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 15 9 0 24 Oct 2023
General Identifiability and Achievability for Causal Representation Learning Burak Varici Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 22 16 0 24 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 31 7 0 17 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 24 4 0 11 Oct 2023
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 11 14 0 06 Oct 2023
Multi-Domain Causal Representation Learning via Weak Distributional Invariances Kartik Ahuja Amin Mansouri Yixin Wang CML OOD 8 10 0 04 Oct 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions Jiaqi Zhang C. Squires Kristjan Greenewald Akash Srivastava Karthikeyan Shanmugam Caroline Uhler CML 43 53 0 12 Jul 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation Sébastien Lachapelle Divyat Mahajan Ioannis Mitliagkas Simon Lacoste-Julien 29 25 0 05 Jul 2023
Learning nonparametric latent causal graphs with unknown interventions Yibo Jiang Bryon Aragam CML 13 24 0 05 Jun 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz Goutham Rajendran Elan Rosenfeld Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar CML 24 57 0 04 Jun 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Emanuele Marconato Stefano Teso Antonio Vergari Andrea Passerini 27 30 0 31 May 2023
Causal Component Analysis Wendong Liang Armin Kekić Julius von Kügelgen Simon Buchholz M. Besserve Luigi Gresele Bernhard Schölkopf CML 24 36 0 26 May 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 42 11 0 29 Jan 2023
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model Eric V. Strobl Thomas A. Lasko CML 53 32 0 25 May 2022
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 236 207 0 17 Feb 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 898 0 02 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 173 313 0 07 Feb 2020
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 257 0 29 Sep 2019