Current Ph.D. students
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- Shinji Saget (co-supervision with Pascal Belin, INT, Sylvain Takerkart, INT et Stéphane Ayache QARMA@LIS)
Exploring the vocal brain with deep networks
- Luc Giffon (co-supervision with Hachem Kadri and Stéphane Ayache at LIS)
Deep learning and kernels
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- Mickael Chen (co-supervision with Ludovic Denoyer at Paris Sorbonne University)
Multiview data, disentangling factors of variations, adversarial Learning
- Ziyu Guo (co-supervision with Y. Coadou and C. Diaconu at CPPM)
Deep Learning for High Energy Physics
- (Miss) Qi Wang (co-supervision with S. Takerkart at INT Marseille)
Multisource learning and neuroscience
Past Ph.D. students
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- (Mister) Qi Wang
A generic statistical model for Avatar animation in multiple setting, defended July 2018.
Now: Machine Intelligence Team of DAMO Academy, Alibaba Group (https://damo.alibaba.com/labs/?lang=en)
- Jeremie Tafforeau (co-supervision with F. Béchet et B. Favre at LIF), defended september 2017. Now at Machine Intelligence Team of DAMO Academy, Alibaba Group (https://damo.alibaba.com/labs/?lang=en).
Distributed word representation for information extraction in texts
- Gabriella Contardo (co-supervision with L. Denoyer at LIP6, UPMC), defended July 2017.
Machine learning under budget constraints
Now: Post doc at NYU
- Olivier Dufour (co-supervision with Mathieu Lecorre (Univ Réunion), defended February 2016.
Reconnaissance de chants d’oiseaux
- Yu Ding (co-supervision with C. Pelachaud at LTCI, Telecom ParisTech), defended September 2014.
Modèle statistique de l’animation expressive de la parole et du rire pour un agent conversationnel animé
Now: Postdoc university of Houston at NetEase in Hangzhou (near Shanghai) leading a team on virtual agents
- Moustapha Cissé (co-supervision with Patrick Gallinari at LIP6, UPMC), defended June 2014.
Efficient Extreme Classification
Now: Researcher at Facebook Artificial Intelligence Research (FAIR).
- Mathieu Radenen
Contextual Markovian Models, defended September 2014.
Now: Machine Learning Research Engineer at Audionamix
- Antoine Vinel
Réseaux de neurones profonds et traitement de séquences, defended December 2013.
Now: Researcher (Apple)
- Yann Soullard (co-supervision with Bernard Main / BBSP-Creo), defended in 2013.
Apprentissage statistique et analyse technique pour la prévision de cours financiers
Now: Postdoc at Univ. Rouen
- Roxana Horincar (co-supervision with Bernd Amann and Nicolas Labroche)
Bases de données, Graphes et apprentissage statistique
Now: Postdoc at Telecom ParisTech
- Trinh Minh Tri DO
Modèles discriminants pour les séquences : champs Markoviens conditionnels, maximisation de la marge, defended June 2010.
Now : Research engineer at Trusting Social
- Juliette Brézillon (co-supervised with Charles Tijus) »
Outil d’auto-évaluation pour la conduite automobile
- Rudy Sicard
Contributions à l’apprentissage par moyenne Bayésienne de modèles, defended 2008.
Now: R&D engineer at Criteo
- Henri Binsztok (co-supervison with Patrick Gallinari at LIP6, UPMC)
Apprentissage de modèles Markoviens pour l’Analyse de séquences, defended in 2005.
Now: Chief Innovation Officer at WALLIX Group
- Alexander Estacio-Moreno (co-supervison with Patrick Gallinari)
Thesis: Modèles d’Apprentissage pour l’Analyse de la Mobilité : Applications à des Parcours de Vie en Colombie
Now: IRD
- Sanparith Marukatat (co-supervison with Patrick Gallinari at LIP6, UPMC)
Thesis: Une approche générique pour la reconnaissance de signaux écrits en ligne, defended in 2004.
Now: Researcher, Information Research and Development Division, National Electronics and Computer Technology Center (NECTEC), Thailand
- Haifeng Li (co-supervison with Patrick Gallinari at LIP6, UPMC), defended in 2002.
Thesis: Traitement de la Variabilité et Développement de Systèmes Robustes pour la Reconnaissance de l’Ecriture Manuscrite En-ligne
Now: Professor, School of Computer Science & Technology, Harbin Institute of Technology, China
