Weakly supervised causal representation learning

30 March 2022

Papers citing "Weakly supervised causal representation learning"

50 / 81 papers shown

Title
Q-function Decomposition with Intervention Semantics with Factored Action Spaces Junkyu Lee Tian Gao Elliot Nelson Miao Liu D. Bhattacharjya Songtao Lu OffRL 45 0 0 30 Apr 2025
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 40 0 0 17 Apr 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 Zhen Zhang Biwei Huang Anton van den Hengel Javen Qinfeng Shi Javen Qinfeng Shi 157 0 0 12 Mar 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 57 0 0 27 Feb 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 107 0 0 31 Jan 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler Stefanos Nikolaidis Maja J. Matarić 141 0 0 03 Jan 2025
Differentiable Causal Discovery For Latent Hierarchical Causal Models Parjanya Prashant Ignavier Ng Anton van den Hengel Zhen Zhang CML 187 0 0 29 Nov 2024
Identifying Spatio-Temporal Drivers of Extreme Events Mohamad Hakam Shams Eddin Juergen Gall AI4TS 48 0 0 31 Oct 2024
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data Ryan Welch Jiaqi Zhang Caroline Uhler CML OOD 51 1 0 31 Oct 2024
Language Agents Meet Causality -- Bridging LLMs and Causal World Models John Gkountouras Matthias Lindemann Phillip Lippe E. Gavves Ivan Titov LRM 28 0 0 25 Oct 2024
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 61 4 0 18 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent Decoding Philippe Brouillard Sébastien Lachapelle Julia Kaltenborn Yaniv Gurwicz Dhanya Sridhar Alexandre Drouin Peer Nowack Jakob Runge David Rolnick CML 37 3 0 09 Oct 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement Mathieu Cyrille Simon Pascal Frossard Christophe De Vleeschouwer CoGe CML 31 1 0 10 Aug 2024
Unsupervised Object Detection with Theoretical Guarantees Marian Longa Joao F. Henriques 45 0 0 11 Jun 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention Avinash Kori Francesco Locatello Ainkaran Santhirasekaram Francesca Toni Ben Glocker Fabio De Sousa Ribeiro OCL 45 1 0 11 Jun 2024
Linear Causal Representation Learning from Unknown Multi-node Interventions Burak Varıcı Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 35 1 0 09 Jun 2024
Sparsity regularization via tree-structured environments for disentangled representations Elliot Layne Jason S. Hartford Sébastien Lachapelle Mathieu Blanchette Dhanya Sridhar OOD CML 33 0 0 30 May 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 35 3 0 27 May 2024
Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao Caroline Muller Francesco Locatello CML AI4CE 42 6 0 22 May 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 35 5 0 27 Apr 2024
FilterPrompt: Guiding Image Transfer in Diffusion Models Xi Wang Yichen Peng Heng Fang Haoran Xie Xi Yang Chuntao Li DiffM 40 0 0 20 Apr 2024
Identifiable Latent Neural Causal Models Yuhang Liu Zhen Zhang Dong Gong Biwei Huang Erdun Gao Anton Van Den Hengel Anton van den Hengel Javen Qinfeng Shi CML OOD 40 6 0 23 Mar 2024
Towards the Reusability and Compositionality of Causal Representations Davide Talon Phillip Lippe Stuart James Alessio Del Bue Sara Magliacane BDL CML 41 4 0 14 Mar 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 43 13 0 13 Mar 2024
Why Online Reinforcement Learning is Causal Oliver Schulte Pascal Poupart CML OffRL 30 1 0 07 Mar 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 49 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 91 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 Anton van den Hengel Shaoan Xie Ignavier Ng Yujia Zheng CML OOD 29 18 0 07 Feb 2024
Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing Jonas Wahl Urmi Ninad Jakob Runge CML OOD 51 3 0 06 Dec 2023
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis Goutham Rajendran Patrik Reizinger Wieland Brendel Pradeep Ravikumar CML 37 8 0 29 Nov 2023
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations Cian Eastwood Julius von Kügelgen Linus Ericsson Diane Bouchacourt Pascal Vincent Bernhard Schölkopf Mark Ibrahim 34 10 0 15 Nov 2023
Diffusion Based Causal Representation Learning Amir Mohammad Karimi Mamaghan Andrea Dittadi Stefan Bauer Karl Henrik Johansson Francesco Quinzan CML DiffM 27 0 0 09 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 31 4 0 08 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 42 30 0 07 Nov 2023
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions Simon Bing Urmi Ninad Jonas Wahl Jakob Runge CML 15 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 29 15 0 29 Oct 2023
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder Xiaoyu Liu Jiaxin Yuan Bang An Yuancheng Xu Yifan Yang Furong Huang CML 27 7 0 26 Oct 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 33 9 0 24 Oct 2023
Identifiable Latent Polynomial Causal Models Through the Lens of Change Yuhang Liu Zhen Zhang Dong Gong Biwei Huang Erdun Gao Anton Van Den Hengel Anton van den Hengel Javen Qinfeng Shi 28 13 0 24 Oct 2023
General Identifiability and Achievability for Causal Representation Learning Burak Varici Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 37 17 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
Do Not Marginalize Mechanisms, Rather Consolidate! Moritz Willig Matej Zečević Devendra Singh Dhami Kristian Kersting 22 1 0 12 Oct 2023
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 16 14 0 06 Oct 2023
Multi-Domain Causal Representation Learning via Weak Distributional Invariances Kartik Ahuja Amin Mansouri Yixin Wang CML OOD 21 10 0 04 Oct 2023
Shadow Datasets, New challenging datasets for Causal Representation Learning Jiageng Zhu Hanchen Xie Jianhua Wu Jiazhi Li Mahyar Khayatkhoei Mohamed E. Hussein Wael AbdAlmageed 27 2 0 10 Aug 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions Jiaqi Zhang C. Squires Kristjan Greenewald Akash Srivastava Karthikeyan Shanmugam Caroline Uhler CML 51 53 0 12 Jul 2023
A Causal Ordering Prior for Unsupervised Representation Learning Avinash Kori Pedro Sanchez Konstantinos Vilouras Ben Glocker Sotirios A. Tsaftaris BDL SSL CML 32 0 0 11 Jul 2023