Section: Dissemination

Promoting Scientific Activities

Scientific Events Organisation

General Chair, Scientific Chair

• Guillaume Charpiat, Workshop Statistics/Learning at Paris-Saclay 2017 and 2018

• Isabelle Guyon, General Chair, NIPS 2017

• Flora Jay, Junior Conference on Data Science and Engineering Paris-Saclay (JDSE 2017)

• Paola Tubaro, Recent Ethical Challenges in Social Network Analysis (RECSNA 2017)

Member of the Organizing Committees

• Cecile Germain, co-organizer of DataScience@HEP 2017; Hammers and Nails Weizmann Workshop.

• Isabelle Guyon, co-organizer BayLearn, NIPS workshops Challenges in Machine Learning, AutoML workshop at ICML, LAP challenge workshops (ICCV, ICPR).

• Marc Schoenauer, Steering Committee, Parallel Problem Solving from Nature (PPSN); Steering Committee, Learning and Intelligent OptimizatioN (LION).

• Michele Sebag, President of Steering Committee, Eur. Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD).

Member of Conference Program Committees

All TAO members are members of the Program Committees of the main conferences in the fields of Machine Learning, Evolutionary Computation, and Information Processing.

Reviewer

All TAO member review papers for the most prestigious conferences in the fields of Machine Learning and Evolutionary Computation.

Journal

Member of the Editorial Boards

• Isabelle Guyon, action editor, Journal of Machine Learning Research (JMLR); series editor, Springer series Challenges in Machine Learning (CiML).

• Marc Schoenauer, member of Advisory Board, Evolutionary Computation Journal, MIT Press, and Genetic Programming and Evolutionary Machines, Springer Verlag; action editor, Journal of Machine Learning Research(JMLR).

• Michèle Sebag, Editorial Board, Machine Learning, Springer Verlag.

• Paola Tubaro, Associate Editorial Board, Sociology, Sage; member of Editorial Board, Revue Française de Sociologie, Presses de Sciences Po.

Reviewer - Reviewing Activities

All members of the team reviewed numerous articles for the most prestigious journals in the fields of Machine Learning and Evolutionary Computation.

Invited Talks

• Philippe Caillou, 7 march 2017, Simulation analysis with charts in GAMA, Gama Training session, TU Delft, Delft.

• Guillaume Charpiat, 9 May 2017, Introduction to Neural Networks, Mathematical coffees, Huawei.

• Guillaume Charpiat, 30 November 2017, Apprentissage profond pour la segmentation d'images satellite haute résolution, Workshop Deep Learning - Télédétection - Temps, Issy-les-Moulineaux.

• Aurélien Decelle, 24 March 2017, Ising inverse problem : recovering the topology of the network, International workshop on numerical methods and simulations for materials design and strongly correlated quantum matters

• Isabelle Guyon, 19 Jan 2017, Causal graph reconstruction, ENS Ulm, Paris.

• Flora Jay, 7 April 2017, Reconstructing past history from whole-genomes: an ABC approach handling recombining data, European Mathematical Genetics Meeting, Estonia.

• Cecile Germain, 9 May 2017, Review on Anomaly/Outlier detection, DataScience@HEP, Fermilab.

• Marc Schoenauer, 23 Feb. 2017, Adaptation and self-adaptation in Evolutionary Computation and in scientific careers, School of Computer Science, University of Adelaide; 7 Sep. 2017, l’Intelligence Artificielle dans le domaine scientifique, Open Laboratories, IMRA, Sophia Antipolis; 21 Sep. 2017, Getting hints from random walks in Optimization and Deep Learning, CSAIL Seminar, MIT, Boston; 31 Oct. 2017, Adaptation in Artificial Systems: lessons from Evolution Strategies applied to Deep Learning, XIII Brazilian Congress on Computational Intelligence, Rio de Janeiro.

• Michèle Sebag, July 2017, AI without hot air / Le vent de l'IA, Académie des Technologies; July 2017, IA et Intelligence Service, DGA Ecole Militaire; Sept. 2017, Causal Generative Neural Networks, Lorentz center, Leiden; Sept. 2017, Stochastic Gradient Descent: Going as fast as possible but not faster; Sept. 2017, AutoML@ECMLPKDD, Skopje; Sept. 2017, Algorithm Recommender System, keynote speech JST CREST Program on Big Data Applications, Tokyo.

• Paola Tubaro, 11 May 2017, Mapping the collaborative economy: social networks, status and norms, RITM Seminar, Université Paris Sud, Sceaux.

Leadership within the Scientific Community

• Isabelle Guyon, President and co-founder of ChaLearn, a non-for-profit organization dedicated to the organization of challenge.

• Marc Schoenauer, Chair of ACM-SIGEVO (Special Interest Group on Evolutionary Computation), re-elected July 2017 (2-years term).

• Marc Schoenauer, founding President of SPECIES (Society for the Promotion of Evolutionary Computation In Europe and Surroundings), that organizes the yearly series of conferences EvoStar.

• Michèle Sebag, elected Chair of Steering Committee, ECML-PKDD; head of the Research Programme, Institut de Convergence DataIA

• Paola Tubaro, convenor of the Social Network Analysis Group of British Sociological Association; co-founder of European Network on Digital Labor

Scientific Expertise

• Cécile Germain, evaluator for the H2020-ICT-2017-1 Big Data PPP call.

• Marc Schoenauer, mission Villani pour l'Intelligence Artificielle

Research Administration

• Cécile Germain, University officer for scientific computing; deputy head of the computer science departement, in charge of research; member of the scientific council of faculty of Science (UPsud) and of its board; member of the Board of the Lidex Center for Data Science; member of the scientific council of faculty of Medicine (UPsud).

• Isabelle Guyon, representative of UPSud in the DataIA Institut de Convergence Program Committee, University of Paris-Saclay.

• Marc Schoenauer, co-chair (with Sylvain Arlot) of the Maths-STIC program of the Labex of Mathematics Hadamard (LMH).

• Michele Sebag, deputy director of LRI, CNRS UMR 8623; elected member of the Research Council of Univ. Paris-Saclay; member of the STIC department council of Univ. Paris-Saclay; member of the Scientific Council of Labex AMIES, Applications des Mathématiques ds l'Industrie, l'Entreprise et la Société; member of the Scientific Council of IRT System'X; member of the CSFRS (Conseil supérieur de la formation et de la recherche stratégique).

• Paola Tubaro, representative of CNRS in the DataIA Institut de Convergence Program Committee, University of Paris-Saclay.