Causal Representation Learning Made Identifiable by Grouping of
Observational Variables

Causal Representation Learning Made Identifiable by Grouping of Observational Variables

24 October 2023

Papers citing "Causal Representation Learning Made Identifiable by Grouping of Observational Variables"

11 / 11 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Biwei Huang OffRL CML 27 0 0 13 May 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
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? Maxime Méloux Silviu Maniu François Portet Maxime Peyrard 34 0 0 28 Feb 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Biwei Huang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 50 0 0 21 Jan 2025
Linear Causal Representation Learning from Unknown Multi-node Interventions Burak Varıcı Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 32 1 0 09 Jun 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence Zijian Li Yifan Shen Kaitao Zheng Ruichu Cai Xiangchen Song Mingming Gong Zhengmao Zhu Guan-Hong Chen Kun Zhang CML 29 5 0 24 May 2024
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 37 30 0 07 Nov 2023
Posterior Collapse and Latent Variable Non-identifiability Yixin Wang David M. Blei John P. Cunningham CML DRL 77 71 0 02 Jan 2023
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
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 111 258 0 29 Sep 2019