Multi-View Causal Representation Learning with Partial Observability

Multi-View Causal Representation Learning with Partial Observability

7 November 2023

Dingling Yao

Sébastien Lachapelle

Sara Magliacane

Perouz Taslakian

Julius von Kügelgen

Francesco Locatello

Papers citing "Multi-View Causal Representation Learning with Partial Observability"

15 / 15 papers shown

Title
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zhengming Chen Boyan Xu Zhifeng Hao AI4TS CML 31 0 0 12 May 2025
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 143 0 0 02 May 2025
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning Yichao Cai Yuhang Liu Erdun Gao Tianjiao Jiang Zhen Zhang Anton van den Hengel Javen Qinfeng Shi 62 0 0 14 Apr 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
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions H. Fokkema T. Erven Sara Magliacane 70 1 0 10 Feb 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 107 0 0 31 Jan 2025
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 38 3 0 27 May 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Yuhang Liu Zhen Zhang Dong Gong Erdun Gao Biwei Huang Anton Van Den Hengel Kun Zhang Javen Qinfeng Shi Javen Qinfeng Shi 49 5 0 09 Feb 2024
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 33 9 0 24 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 18 56 0 01 Jun 2023
Multi-View Independent Component Analysis with Shared and Individual Sources T. Pandeva Patrick Forré CML 15 5 0 05 Oct 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 27 19 0 02 Feb 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 359 5,811 0 29 Apr 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 238 208 0 17 Feb 2021
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