Florence d'Alché-Buc (Telecom Paristech)
Florence d'Alché-Buc is professor in Department Image, Data and Signal of Télécom ParisTech, head of DigiCosme, an ANR Excellence laboratory in Paris-Saclay and member of the board of DATAIA an ANR Convergence Institute. Her research interests are Machine Learning & Artificial Intelligence, bioinformatics & medical applications. Subdomains: (Operator-valued) Kernel Methods, Structured Output Prediction, Reliable Machine Learning, Dynamical Systems Modeling.
Alexandre Allauzen (Université Paris-Sud)
Alexandre Allauzen is professor at LIMSI (CNRS, Université Paris-Sud), in the Spoken Language Processing group and more precisely in the topic Machine Learning and Automatic Translation. His main topics are Neural Machine Translation and language modelling. On the Machine learning side, he is interested in Deep-Learning, Bayesian modeling (parametric and non-parametric), Conditional Random Fields, …
Marco Baroni (Facebook)
Marco Baroni received his PhD in theoretical linguistics from the University of California, Los Angeles in 2000. He worked as well in academic research, for exemple in the University of Trento (Italy), as in industry. He received a Google Research Award and an ERC Starting grant. He is now a research scientist on the Facebook Artificial Intelligence Research (FAIR) team, joining in November 2016, where he focuses on methods to train machines to interact with humans (and with each other) through natural language.
Rémi Munos (Deepmind)
Owner of a PhD in cognitive sciences from EHESS, Rémi Munos is a senior researcher at Inria and leads the DeepMind Paris lab, where he focuses on fundamental AI research, including new state-of-the-art methods that enable single AI systems to learn how to perform many different tasks as well as fundamental algorithmic breakthroughs such as distributional reinforcement learning.
Naila Murray (Naver)
After a B.Sc. in Electrical Engineering from Princeton University in 2007 and a Ph.D at the Computer Vision Center in the Unversitat Autonoma de Barcelona defended in 2012, Naila Murray joined Naver Labs in 2013, where she is now a senior research scientist and Group Lead of Computer Vision group. Her research interests include fine-grained visual categorization and search, visual attention and image aesthetics analysis. Currently, her research focuses on image search and video action recognition.
Patrick Perez (Valeo)
Patrick Pérez is Scientific Director of valeo.ai, a Valeo AI research lab focused on self-driving cars. He is currently on the Editorial Board of the International Journal of Computer Vision. Before joining Valeo, Patrick Pérez has been researcher at Technicolor (2009-2018), Inria (1993-2000, 2004-2009) and Microsoft Research Cambridge (2000-2004). His research interests include audio/video description, search and analysis, as well as photo/video editing and computational imaging.
Lorenzo Rosasco (Genoa University)
Lorenzo Rosasco made his PhD in the Statistical Learning and Image Processing Genoa University Research Unit (SLIPGURU) and defended it in 2006. He is currently an associate professor at Università di Genova, visiting professor at the Massachusetts Institute of Technology (MIT) and external collaborator at the Istituto Italiano di Tecnologia(IIT). He is leading the efforts to establish the Laboratory for Computational and Statistical Learning (LCSL), born from a collaborative agreement between IIT and MIT. His research focuses on understanding and developing computational methods for learning from small and large samples of complex, high dimensional data.
Joseph Salmon (Université de Montpellier)
Joseph Salmon defended a PHD in statistics and image processing in 2010 at the Laboratoire de Probabilités et de Modélisation Aléatoire (now LPSM), at Université Paris Diderot. He is currently a full professor at Université de Montpellier and an associate member at INRIA Parietal Team. His research interests are Machine Learning, Image Processing and Optimization.