Ph.D. students & Postdocs
Ph.D. students (current and past)
- Anne Gagneux, Properties of proximal operators-learning neural networks (since 2023)
- Sibylle Marcotte, Invariant representations of neural networks and dynamic of their optimization (since 2022)
- Antoine Gonon, Harnessing invariances, quantization, and sparsity in deep learning (since 2021)
- Léon Zheng, Frugal learning with application to autonomous driving (since 2021)
- Tung Le-Quoc, Towards robust adversarial learning with sparse deep networks (since 2020)
- Clément Lalanne, On the tradeoffs of statistical learning with privacy (2020-2023)
- Pierre Stock, Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and
Practical Applications (2018-2021)
- Mohammed Hafsati, Higher Order Ambisonics sound scenes decomposition for six degree of freedom navigation (since 2016, defense in December 2020)
- Antoine Chatalic, Efficient and Privacy-Preserving Compressive Learning (2017-2020)
- Cássio Fraga Dantas, Accelerating sparse inverse problems using structured approximations (2016-2019)
- Clément Gaultier, Design and evaluation of sparse models and algorithms for audio inverse problems (2015-2019)
- Himalaya Jain, Learning compact representations for large scale image search (2014-2018)
- Nicolas Keriven, Sketching for Large-Scale Learning of Mixture Models (2014-2017)
- Luc Le Magoarou, Efficient matrices for signal processing and machine learning (2013-2016)
- Marwa Chafii, Study of a new multicarrier waveform with reduced PAPR (2013-2016)
- Srdan Kitic, Cosparse regularization of physics-driven inverse problems (2012-2015)
- Anthony Bourrier, Compressed sensing for large-scale multimedia indexing (2011-2014)
- Alexis Benichoux Algorithms for large-scale echoic blind source separation (2010-2013)
- Nobutaka Ito Robust microphone array signal processing against diffuse noise (2009-2012)
- Ngoc Duong 2011 Full rank Gaussian modeling of convolutive audio mixtures applied to source separation
- Prasad Sudhakar 2011, Sparse models and convex optimisation for convolutive blind source separation
- Boris Mailhé, 2009, Joint sparse modeling of multichannel signals.
- Simon Arberet, 2008, Robust estimation and blind learning of models for audio source separation.
- Sylvain Lesage, 2007, Adaptive representations for signal description, separation and classification.
- Alexey Ozerov, 2006, Statistical model adaptation for single-channel source separation. Application to the separation of voice from music in popular songs.
Postdocs (current and past)
- Etienne Lasalle, 2023-
- Rémi Vaudaine, 2022-
- Ayoub Belhadji, 2020-2023
- Luc Giffon, 2021-2022
- Titouan Vayer, 2020-2022
- Vincent Schellekens, 2020
- Clément Elvira, 2017-2020
- Claire Cury, 2017-2019
- Yann Traonmillin, 2014-2017
- Saman Noorzadeh, 2015-2017
- Nicolas Tremblay, 2015-2016
- Gilles Puy, 2014-2016
- Anthony Bourrier, 2014
- Thomas Oberlin, 2014
- Pierre Machart, 2013-2014
- Cagdas Bilen, 2013-2014
- Lei Yu, 2011-2013
- Sangnam Nam, 2009-2012
- Nikolaos Stefanakis, 2010-2011
- Nancy Bertin, 2009-2010
- Valentin Emiya, 2008-2011
