Stéphane Chrétien

A Penalized Autoencoder Approach for Nonlinear Independent Component Analysis

We propose Independent Component Autoencoder (ICAE), a deep neural network-based framework for nonlinear Independent Component Analysis (ICA). The proposed method consists of a penalized autoencoder and a training objective that is to minimize a combination of the reconstruction loss and an ICA cont…