Deconvolution with unknown noise distribution is possible for
multivariate signals

Deconvolution with unknown noise distribution is possible for multivariate signals

25 June 2020

Elisabeth Gassiat

Sylvain Le Corff

Luc Lehéricy

Papers citing "Deconvolution with unknown noise distribution is possible for multivariate signals"

5 / 5 papers shown

Title
Support and distribution inference from noisy data Jérémie Capitao-Miniconi Elisabeth Gassiat Luc Lehéricy 27 1 0 19 Apr 2023
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 35 19 0 06 Jun 2022
Fundamental limits for learning hidden Markov model parameters Kweku Abraham Zacharie Naulet Elisabeth Gassiat 31 6 0 24 Jun 2021
Joint self-supervised blind denoising and noise estimation J. Ollion Charles Ollion Elisabeth Gassiat Luc Lehéricy Sylvain Le Corff 25 9 0 16 Feb 2021
Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space Elisabeth Gassiat Sylvain Le Corff Luc Lehéricy 19 9 0 04 Feb 2019