Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions

5 November 2023

Papers citing "Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions"

5 / 5 papers shown

Title
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
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data Ryan Welch Jiaqi Zhang Caroline Uhler CML OOD 51 1 0 31 Oct 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
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 46 13 0 13 Mar 2024
Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing Jonas Wahl Urmi Ninad Jakob Runge CML OOD 51 3 0 06 Dec 2023