Laboratoire J. A. Dieudonné, Université Côte d’Azur, CNRS, 06100, Nice, France; Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; Department of Computer Science, University of Helsinki, Finland; Department of Engineering, University of Cambridge, UK; Samovar, Télécom SudParis, département CITI, Institut Polytechnique de Paris, Palaiseau, France
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvarinen
nonlinear ICA;ICA;identifiable;disentanglement;representation learning;deep generative models;denoising
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA