MobiliT.AI 2023
IVADO, l'IRT Saint Exupéry, l'IIDthe CRIAQ and ANITI organize the 4th edition of the forum MobiliT.AI forum on May 30 and 31, 2023.
MobiliT.AI is an international event that brings together a community of experts in Artificial Intelligence for critical systems in the field of transport and mobility (aeronautics, automotive, rail, space, drones, etc.). This community is made of academic, industrial and tech researchers, as well as experts in operational safety and critical embedded systems engineering.
For this4th edition of the Forum, we're delighted to announce that the conference is moving up a gear and joining two major events in the Artificial Intelligence ecosystem: Mobility Solutions Show on May 30 and 31, and Future Intelligence on May 31.
Tuesday, May 30, 2023
Introduction
Keynote Presentation in English
Catuscia Palamidessi - Research Director, INRIA.
Private collection of mobility data.
Theme 1 - Explicability
Moderated by:
YannBatiste Pequignot - Scientific Coordinator, IID/Université Laval. Sébastien Da Veiga - Associate Professor of Statistics, ENSAI - CREST.
Presentation in English
Nicolas Brunel - Professor at ENSIIE (Laboratoire de Mathématiques et Modélisation d'Evry, LaMME) and Scientific Director of Quantmetry (Part of Capgemini Invent)
Explicability of Machine Learning: moving from local to regional to improve estimation and understanding of Black-Box models.
Presentation in English
Gabriel Laberge - PhD student, Polytechnique Montréal.
Hybrid Interpretable Models: Exploring the Trade-off between Transparency and Performance.
Presentation in English
Marouane Il Idrissi - PhD student, EDF R&D and Institut de Mathématiques de Toulouse.
Proportional marginal effects: an answer to the shortcomings of Shapley values for importance quantification.
Round Table - Sébastien Da Veiga, ENSAI - CREST - Yann Pequignot, IID/Université Laval - Nicolas Brunel, ENSIIE - Gabriel Laberge, Polytechnique Montréal - Marouane Il Idrissi, Institut de Mathématiques de Toulouse - David Vigouroux, IRT Saint Exupéry
Keynote Remote presentation in English
AadityaRamdas - Assistant professor, Carnegie Mellon University. Predictive uncertainty quantification under distribution shift.
Theme 2 - Robustness and uncertainty quantification.
Presentation in English
Moderated by: Sébastien Gerchinovitz - Researcher, DEEL program, IRT Saint Exupéry. & Aaditya Ramdas - Assistant professor, Carnegie Mellon University.
Presentation in English
François Bachoc - Maître de Conférences, Institut de Mathématiques de Toulouse.
Introduction to Gaussian process with inequality constraints, Application to coast flooding risk.
Presentation in English
Andrei Bursuc - Researcher, valeo.ai.
The many faces of reliability of visual perception for autonomous driving
Presentation in English
François-Xavier Briol - Senior Lecturer, University College London.
Uncertainty in Numerics: a multi-level approach.
Round table
François Bachoc - Senior Lecturer, Institut de Mathématiques de Toulouse. François-Xavier Briol - Senior Lecturer, University College London. Andrei Bursuc - Researcher, valeo.ai. Mélanie Ducoffe - Researcher in Machine Learning, Airbus.
Social Event
Wednesday, May 31, 2023
Introduction Olivier Auradou - Director, Ekitia
Opening - Bertrand Serp Bertrand Serp - Vice-President, Toulouse Métropole
Opening - Marc Sztulman Marc Sztulman - Regional Councillor, Chairman of Cyber'Occ, Occitanie Region
Remote opening keynote
Jean-Noël BARROT - Minister Delegate for Digital Transition and Telecommunications.
Keynote - Luc Julia - Scientific Director, Renault.
Topic 3 - Formal methods and certification
Moderated by:
Mélanie Ducoffe - Researcher in Machine Learning, Airbus. and Josée Desharnais - Full Professor, Department of Computer Science and Software Engineering, Université Laval / IID.
Presentation in English
Shahaf Bassan - PHD research student for Computer Science, Hebrew University of Jerusalem.
Towards Formally verifying and explaining deep neural networks.
Presentation in English
MarkMüller - PHD research student for Computer Science, Swiss Federal Institute of Technology Zurich - ETHZ.
Realistic Neural Networks with Guarantees.
Round table
Keynote
Francois Sillion - Technical and Digital Director, CNES.
Theme 4 - Optimization and machine learning
Moderated by:
Francois Malgouyres - Professor, ITM - University Toulouse 3 - Paul Sabatier / ANITI / DEEL and Edouard Pauwels - Assistant Professor, University Toulouse 3 Paul Sabatier.
Jean-Christophe Pesquet - Professor, Ecole Centrale / INRIA.
Fixed point properties of neural networks.
Nicolas Couellan - Professor, Ecole Nationale de l'Aviation Civile.
Optimization and machine learning in air traffic systems, towards robust decisions.
Sébastien Gadat - Professor, Toulouse School of Economics.
Optimization and uncertainty: an industrial problem and a leading machine learning algorithm.
Round table
Francois Malgouyres - Professor, IMT - Université Toulouse 3 - Paul Sabatier / ANITI / DEEL, Edouard Pauwels - Assistant Professor, Université Toulouse 3 Paul Sabatier. Sébastien Gadat - Professor, Toulouse School of Economics. Jean-Christophe Pesquet - Professor, CentraleSupélec / Inria. Nicolas Couellan - Professor, Ecole Nationale de l'Aviation Civile.
Dr Luc Julia, Renault, Scientific Director
Aaditya Ramdas, Carnegie Mellon University, Professor
Catuscia Palamidessi, INRIA, Research Director
François Sillion, CNES, Technical and Digital Director
Marouane Il Idrissi, EDF R&D and Institut de Mathématiques de Toulouse, PhD student
Gabriel Laberge, Polytechnique Montréal, Doctoral student
François Bachoc, Institut de Mathématiques de Toulouse, Senior Lecturer
Nicolas Couëllan, Ecole Nationale de l'Aviation Civile, Professor
Sébastien Gadat, Toulouse School of Economics, Professor of Applied Mathematics
Mark Niklas Müller, Swiss Federal Institute of Technology Zurich - ETHZ, Doctoral student
François-Xavier Briol, University College London, Senior Lecturer
Shahaf Bassan, Hebrew University of Jerusalem, PhD student in computer science
Andrei Bursuc, Valeo.ai, Researcher
Nicolas Brunel, Professor at ENSIIE and Scientific Director of Quantmetry
Jean-Christophe Pesquet, Professor Centrale, Supélec / Inria