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Habilitation À Diriger Des Recherches Year : 2022

Principled methods for mixtures processing

Antoine Liutkus

Abstract

This document is my thesis for getting the habilitation à diriger des recherches, which is the french diploma that is required to fully supervise Ph.D. students. It summarizes the research I did in the last 15 years and also provides the short­term research directions and applications I want to investigate. Regarding my past research, I first describe the work I did on probabilistic audio modeling, including the separation of Gaussian and α­stable stochastic processes. Then, I mention my work on deep learning applied to audio, which rapidly turned into a large effort for community service. Finally, I present my contributions in machine learning, with some works on hardware compressed sensing and probabilistic generative models. My research programme involves a theoretical part that revolves around probabilistic machine learning, and an applied part that concerns the processing of time series arising in both audio and life sciences.
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Dates and versions

tel-03578077 , version 1 (17-02-2022)

Identifiers

  • HAL Id : tel-03578077 , version 1

Cite

Antoine Liutkus. Principled methods for mixtures processing. Signal and Image Processing. Université de Montpellier, 2022. ⟨tel-03578077⟩
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