research
∙
10/14/2022
Provable Subspace Identification Under Post-Nonlinear Mixtures
Unsupervised mixture learning (UML) aims at identifying linearly or nonl...
share
research
∙
06/14/2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
Nonlinear independent component analysis (nICA) aims at recovering stati...
research
∙
06/16/2021
Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder
This work focuses on the problem of unraveling nonlinearly mixed latent ...
research
∙
06/14/2021
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective
Multiple views of data, both naturally acquired (e.g., image and audio) ...
research
∙
09/19/2019
Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm
Multiview analysis aims at extracting shared latent components from data...
research
∙
10/22/2017
