121 citations · 154 across the 6 of their papers we have counts for
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cs.LG2023★ 3 cited
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning
Aapo Hyvarinen, Ilyes Khemakhem, Hiroshi Morioka
A central problem in unsupervised deep learning is how to find useful representations of high-dimensional data, sometimes called "disentanglement". Most approaches are heuristic an…
stat.ML2023★ 3 cited
Identifiability of latent-variable and structural-equation models: from linear to nonlinear
Aapo Hyvärinen, Ilyes Khemakhem, Ricardo Monti
An old problem in multivariate statistics is that linear Gaussian models are often unidentifiable, i.e. some parameters cannot be uniquely estimated. In factor (component) analysis…