Identifiability Guarantees for Causal Disentanglement from Soft
Interventions

Identifiability Guarantees for Causal Disentanglement from Soft Interventions

12 July 2023

Kristjan Greenewald

Akash Srivastava

Karthikeyan Shanmugam

Papers citing "Identifiability Guarantees for Causal Disentanglement from Soft Interventions"

7 / 7 papers shown

Title
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 50 0 0 27 Feb 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 101 0 0 31 Jan 2025
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling Emanuele Marconato Sébastien Lachapelle Sebastian Weichwald Luigi Gresele 64 3 0 30 Oct 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 34 1 0 08 Oct 2024
Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling Stathis Megas Daniel G. Chen K. Polański Moshe Eliasof Carola-Bibiane Schönlieb Sarah Teichmann 16 2 0 09 Sep 2024
Linear causal disentanglement via higher-order cumulants Paula Leyes Carreno Chiara Meroni A. Seigal CML 28 0 0 05 Jul 2024
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