Learning Causally Disentangled Representations via the Principle of
Independent Causal Mechanisms

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Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms

2 June 2023

Aneesh Komanduri

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Papers citing "Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms"

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Title
CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data Disheng Liu Yiran Qiao Wuche Liu Yiren Lu Yunlai Zhou Tuo Liang Yu Yin Jing Ma CML 3DV 105 1 0 06 Mar 2025
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 144 3 0 16 Oct 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 152 3 0 19 Dec 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 122 11 0 17 Oct 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions Jiaqi Zhang C. Squires Kristjan Greenewald Akash Srivastava Karthikeyan Shanmugam Caroline Uhler CML 132 65 0 12 Jul 2023