Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Licence : Philippe Caillou, Computer Science for students in Accounting and Management, 192h, L1, IUT Sceaux, Univ. Paris Sud.

• Licence : Aurélien Decelle, Computer Architecture, 26h, L2, Univ. Paris-Sud.

• Licence : Aurélien Decelle, Introdution to Machine Learning, 57h, L2, Univ. Paris-Sud.

• Licence : Aurélien Decelle, Object-oriented programming , 26h, L2, Univ. Paris-Sud.

• Licence : Aurélien Decelle, Computer Architecture, 26h, L3, Univ. Paris-Sud.

• Licence : François Landes, Mathematics for Computer Scientists, 51h, L2, Univ. Paris-Sud.

• Licence : François Landes, Machine Learning and Artificial Life, 48h, L2, Univ. Paris-Sud.

• Licence and Polytech : Cécile Germain, Computer Architecture

• Licence : Isabelle Guyon, Project: Resolution of mini-challenges (created by M2 students), L2, Univ. Paris-Sud.

• Master : François Landes, Machine Learning, 22h, M1 Polytech, U. Paris-sud.

• Master : Guillaume Charpiat and Victor Berger, Advanced Machine Learning, 34h, M2 Recherche, Centrale-Supélec.

• Master : Guillaume Charpiat, Introduction to Deep Learning, 6h, M2 Recherche, Telecom.

• Master : Aurélien Decelle, Machine Learning, 26h, M1, Univ. Paris-Sud.

• Master : Aurélien Decelle, Probability and statistics, 26h, M1, Univ. Paris-Sud.

• Master : Cécile Germain, Parallel Programming

• Master : Isabelle Guyon, Project: Creation of mini-challenges, M2, Univ. Paris-Sud.

• Master : Michèle Sebag, Machine Learning, 12h; Deep Learning, 9h; Reinforcement Learning, 12h; M2 Recherche, U. Paris-sud. Summer School Deep Learning, Genova (Italy), 5h.

• Master : François Landes, Machine Learning, 9h, M2 Recherche, U. Paris-sud.

• Master : Paola Tubaro, Start -up project for engineering students, 24h, Telecom ParisTech.

• Master : Paola Tubaro, Sociology of social networks, 24h, M2, EHESS/ENS.

• Master : Flora Jay, Population Genetics, 10h, M2, Univ. Paris-Sud.

• Doctorate: Paola Tubaro, Research Methods, 12h, University of Insubria, Italy.

Supervision

• PhD François GONARD, Cold-start recommendation : from Algorithm Portfolios to Job Applicant Matching, Université Paris-Saclay, May 2018

• PhD Thomas SCHMITT, Collaborative Matching of Job Openings and Job Seekers, Université Paris-Saclay, June 2018

• PhD Hoang M. LUONG, Squaring the Circle in Modelling Corporate Governance, Market Structure and Innovation: A Tobin's Q Approach to R&D Investment when Network Effects Are Present, Paola Tubaro, with M. Ugur and S. Gorgoni, University of Greenwich, London, UK, Oct. 2018.

• PhD in progress Eléonore BARTENLIAN, Deep Learning pour le traitement du signal, 1/10/2018, Michèle Sebag and Frédéric Pascal (Centrale-Supélec)

• PhD in progress Victor BERGER, Variational Anytime Simulator, 1/10/2017, Michèle Sebag

• PhD in progress Leonard BLIER, Vers une architecture stable pour les systèmes d’apprentissage par renforcement, 1/09/2018, Yann Ollivier (Facebook AI Research, Paris) and Marc Schoenauer

• PhD in progress Tony BONNAIRE, Reconstruction de la toile cosmique, from 1/10/2018, Nabila Aghanim (Institut d'Astrophysique Spatiale) and Aurélien Decelle

• PhD in progress Benjamin DONNOT, Optimisation et méthodes d’apprentissage pour une conduite robuste et efficace du réseau électrique par anticipation sur base de parades topologiques., 1/09/2015, Isabelle Guyon and Antoine Marot (RTE)

• PhD in progress Balthazar DONON, Apprentissage par renforcement pour une conduite stratégique du système électrique, 1/10/2018, Isabelle Guyon and Antoine Marot (RTE)

• PhD in progress Guillaume DOQUET, ML Algorithm Selection and Domain Adaptation, 1/09/2015, Michele Sebag

• PhD in progress Victor ESTRADE Robust domain-adversarial learning, with applications to High Energy Physics, 01/10/2016, Cécile Germain and Isabelle Guyon.

• PhD in progress Loris FELARDOS, Neural networks for molecular dynamics simulations, 1/10/2018, Guillaume Charpiat, Jérôme Hénin (IBPC) and Bruno Raffin (InriAlpes)

• PhD in progress Giancarlo FISSORE, Statistical physics analysis of generative models, 1/10/2017, Aurélien Decelle and Cyril Furtlehner

• PhD in progress Julien GIRARD, Vérification et validation des techniques d’apprentissage automatique, 1/10/2018, Zakarian Chihani (CEA) and Guillaume Charpiat

• PhD in progress Diviyan KALAINATHAN, Causal models and quality of life at work, 1/10/2017, Michèle Sebag and Isabelle Guyon

• PhD in progress Zhengying LIU, Automation du design des reseaux de neurones profonds, 1/10/2017, Isabelle Guyon

• PhD in progress Nizam MAKDOUD, Motivations intrinsèques en apprentissage par renforcement. Application à la recherche de failles de sécurité, 1/02/2018, Marc Schoenauer and Jérôme Kodjabachian (Thalès ThereSIS, Palaiseau).

• PhD in progress Marc NABHAN, Sûreté de fonctionnement d’un véhicule autonome - évaluation des fausses détections au travers d’un profil de mission réduit, 1/10/2017, Marc Schoenauer and Hiba Hage (Renault)

• PhD in progress Anna PIAZZA, Inter-Organisational Relationships and Organisational Performance: Network Analysis Applications to a Health Care System, 01/09/2014, Paola Tubaro, with F. Pallotti and A. Lomi, at the University of Greenwich, London, UK

• PhD in progress Adrian POL Machine Learning Anomaly Detection, with application to CMS Data Quality Monitoring, 01/10/2016, Cécile Germain.

• PhD in progress Herilalaina RAKOTOARISON, Automatic Algorithm Configuration for Power Grid Optimization, 1/10/2017, Marc Schoenauer and Michèle Sebag

• PhD in progress Théophile SANCHEZ, Reconstructing the past: deep learning for population genetics, 1/10/2017, Guillaume Charpiat and Flora Jay

• PhD in progress Lisheng SUN, Apprentissage Automatique: Vers une analyse de données automatisé, 1/10/2016, Isabelle Guyon and Michèle Sebag

• PhD in progress Corentin TALLEC, Reinforcement Learning and Recurrent Neural Networks: Dynamical approaches, 1/10/2016, Yann Ollivier

• PhD in progress Marion ULLMO, Detection et classification de la toile et des filaments cosmiques, from 1/10/2018, Nabila Aghanim (Institut d'Astrophysique Spatiale) and Aurélien Decelle

• PhD in progress Pierre WOLINSKI, Learning the Architecture of Neural Networks, 1/9/2016, Yann Ollivier (Facebook AI Research, Paris) and Guillaume Charpiat

Juries

• Guillaume Charpiat As a member of the “Commission Scientifique" of Inria Saclay: selection committee for post-docs and PhD students hiring; jury of the Gilles Khan PhD prize (SIF); jury for a “Maître de conférence” position at Université Paris-Sud.

• Cécile Germain PhD jury for Mehdi Cherti 26/01/18, Wenjie ZHENG, 13/06/2018; jury of the Telecom PhD prize 23/03/2018

• Isabelle Guyon PhD jury for Giorgos Borboudakis, 21 Nov. 2018, University of Crete, Heraklion, Greece; Master thesis jury for Marvin Lerousseau, 28 June 2018, INP Grenoble; Master thesis jury for Adrien Pavao, 5 Sep. 2018, U.P-Sud, Orsay.

• Michèle Sebag PhD reviewer: Antonio Vergari (Univ. Bari, Italy); Gaétant Hadjeres, LIX, Ecole Polytechnique; Romain Warlop, Univ. Lille. Pdt Jury: Hafiz Tiomoko, Centrale-Supélec; Stanislas Chambon, Telecom.

• Marc Schoenauer PhD jury for Wen SUN, Université d'Angers, 29/11/2018;

• Paola Tubaro PhD jury for Victorien Barbet, Aix-Marseille Université, 13/12/2018.