Weakly supervised causal representation learning

30 March 2022

Papers citing "Weakly supervised causal representation learning"

31 / 81 papers shown

Title
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation Sébastien Lachapelle Divyat Mahajan Ioannis Mitliagkas Simon Lacoste-Julien 42 25 0 05 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 23 6 0 02 Jul 2023
On the Identifiability of Quantized Factors Vitória Barin Pacela Kartik Ahuja Simon Lacoste-Julien Pascal Vincent OOD CML 23 1 0 28 Jun 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 24 1 0 20 Jun 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 44 28 0 16 Jun 2023
Explaining SAT Solving Using Causal Reasoning Jiong Yang Arijit Shaw Teodora Baluta Mate Soos Kuldeep S. Meel LRM 16 0 0 09 Jun 2023
Learning nonparametric latent causal graphs with unknown interventions Yibo Jiang Bryon Aragam CML 32 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 34 58 0 04 Jun 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 26 9 0 02 Jun 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 18 56 0 01 Jun 2023
Neuro-Causal Factor Analysis Alex Markham Ming-Yu Liu Bryon Aragam Liam Solus CML 28 3 0 31 May 2023
Causal Component Analysis Wendong Liang Armin Kekić Julius von Kügelgen Simon Buchholz M. Besserve Luigi Gresele Bernhard Schölkopf CML 32 36 0 26 May 2023
A Measure-Theoretic Axiomatisation of Causality Junhyung Park Simon Buchholz Bernhard Schölkopf Krikamol Muandet 38 5 0 19 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 22 1 0 19 May 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel L. Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 42 22 0 17 Apr 2023
Identifiability Results for Multimodal Contrastive Learning Imant Daunhawer Alice Bizeul Emanuele Palumbo Alexander Marx Julia E. Vogt 37 38 0 16 Mar 2023
Formalising and Learning a Quantum Model of Concepts Sean Tull R. A. Shaikh Sara Sabrina Zemljič Stephen Clark 22 2 0 07 Feb 2023
Score-based Causal Representation Learning with Interventions Burak Varici Emre Acartürk Karthikeyan Shanmugam Abhishek Kumar A. Tajer CML 33 38 0 19 Jan 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 56 22 0 12 Jan 2023
Linear Causal Disentanglement via Interventions C. Squires A. Seigal Salil Bhate Caroline Uhler CML 29 66 0 29 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 26 32 0 26 Nov 2022
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 30 7 0 24 Oct 2022
Interventional Causal Representation Learning Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 47 84 0 24 Sep 2022
Towards a Grounded Theory of Causation for Embodied AI Taco S. Cohen CML 25 8 0 28 Jun 2022
Variational Causal Dynamics: Discovering Modular World Models from Interventions Anson Lei Bernhard Schölkopf Ingmar Posner CML 11 8 0 22 Jun 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 23 49 0 20 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 29 28 0 13 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 35 58 0 02 Jun 2022
Indeterminacy in Generative Models: Characterization and Strong Identifiability Quanhan Xi Benjamin Bloem-Reddy 16 22 0 02 Jun 2022
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Siyuan Guo V. Tóth Bernhard Schölkopf Ferenc Huszár CML 17 34 0 29 Mar 2022
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020