On the Identifiability of Sparse ICA without Assuming Non-Gaussianity

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity

19 August 2024

Kun Zhang

ArXiv (abs)PDF HTML

Papers citing "On the Identifiability of Sparse ICA without Assuming Non-Gaussianity"

7 / 7 papers shown

Title
On the Identifiability of Nonlinear ICA: Sparsity and Beyond Yujia Zheng Ignavier Ng Kun Zhang CML 93 65 0 15 Jun 2022
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 95 49 0 20 Oct 2021
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA Sébastien Lachapelle Pau Rodríguez López Yash Sharma Katie Everett Rémi Le Priol Alexandre Lacoste Simon Lacoste-Julien CML OOD 100 141 0 21 Jul 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 86 71 0 18 Oct 2020
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning Aapo Hyvarinen Hiroaki Sasaki Richard Turner OOD CML 100 331 0 22 May 2018
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 288 638 0 20 Feb 2013
Algebraic geometry of Gaussian Bayesian networks S. Sullivant 471 60 0 06 Apr 2007

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.