21 citations · 27 across the 2 of their papers we have counts for
3 papers
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy +4
We introduce a new general identifiable framework for principled disentanglement referred to as Structured Nonlinear Independent Component Analysis (SNICA). Our contribution is to…
Joint self-supervised blind denoising and noise estimation
Jean Ollion, Charles Ollion, Elisabeth Gassiat +2
We propose a novel self-supervised image blind denoising approach in which two neural networks jointly predict the clean signal and infer the noise distribution. Assuming that the…
Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy
This paper considers hidden Markov models where the observations are given as the sum of a latent state which lies in a general state space and some independent noise with unknown…