Tuesday, May 28 May 2024

Program


8:30 - 9:00 - Welcome

9:00 - 9:15 - Introduction

9:15 - 10:00 - Keynote Presentation in English 🇬🇧
Catuscia Palamidessi - Research Director, INRIA.
Private collection of mobility data.

> Theme 1 - Explicability

10:00 - 10:15 - Moderated by :
Yann Batiste Pequignot - Scientific Coordinator, IID/Université Laval. Sébastien Da Veiga - Associate Professor of Statistics, ENSAI - CREST.

10:15 - 10:45 - English presentation 🇬🇧
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.

10:45 - 11:15 - Break

11:15 - 11:45 - English presentation 🇬🇧
Gabriel Laberge - PhD student, Polytechnique Montréal.
Hybrid Interpretable Models: Exploring the Compromise between Transparency and Performance.

11:45 - 12:15 - English presentation 🇬🇧
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.

12:15 - 12:45 - Round table - Sébastien Da VeigaENSAI - CREST - Yann PequignotIID/Université Laval - Nicolas Brunel, ENSIIE - Gabriel LabergePolytechnique Montréal - Marouane Il IdrissiInstitut de Mathématiques de Toulouse - David VigourouxIRT Saint Exupéry

12:45 - 14:15 - Lunch break

14:15 - 15:00 - Keynote Remote presentation in English 🇬🇧
Aaditya Ramdas - Assistant professor, Carnegie Mellon University. Predictive uncertainty quantification under distribution shift.

> Theme 2 - Robustness and uncertainty quantification.

15:00 - 15:15 - Presentation in English 🇬🇧
Moderated by : Sébastien Gerchinovitz - DEEL program researcher, IRT Saint Exupéry. & Aaditya Ramdas - Assistant professor, Carnegie Mellon University.

15:15 - 15:45 - Presentation in English 🇬🇧
François Bachoc - Senior Lecturer, Institut de Mathématiques de Toulouse.
Introduction to Gaussian process with inequality constraints, Application to coast flooding risk.

15:45 - 16:15 - English presentation 🇬🇧
Andrei Bursuc - Researcher, valeo.ai.
The many faces of reliability of visual perception for autonomous driving

16:15 - 16:45 - Break

16:45 - 17:15 - English presentation 🇬🇧
François-Xavier Briol - Senior Lecturer, University College London.
Uncertainty in Numerics: a multi-level approach.

17:15 - 17:45 - 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.

19:00 - 00:00 - Social Event

 
Wednesday, May 31 May 2023

Program


8:15 - 9:00 - Coffee reception

9:00 - 09:05 - Introduction Olivier Auradou - Director, Ekitia

9:05 - 09:20 - Opening
Bertrand Serp - Vice-President, Toulouse Métropole

9:20 - 09:35 - Opening
Marc Sztulman - Regional Councillor, Chairman of Cyber'Occ, Occitanie Region

9:35 - 09:50 - Remote Opening Keynote
Jean-Noël BARROT - Minister for Digital Transition and Telecommunications.

09:50 - 10:40 - Keynote
Luc Julia - Scientific Director, Renault.

10:40 - 11:15 - Break

> Topic 3 - Formal methods and certification.

11:15- 11:30 - Animation :
Mélanie Ducoffe - Researcher in Machine Learning, Airbus. and Josée Desharnais - Full Professor, Department of Computer Science and Software Engineering, Université Laval / IID.

11:30 - 12:00 - Presentation in English 🇬🇧
Shahaf Bassan - PHD research student for Computer Science, Hebrew University of Jerusalem.
Towards Formally verifying and explaining deep neural networks.

12:00 - 12:30 - Presentation in English 🇬🇧
Mark Müller - PHD research student for Computer Science, Swiss Federal Institute of Technology Zurich - ETHZ.
Realistic Neural Networks with Guarantees.

12:30 - 13:00 - Round table discussion
Currently being finalized.

13:00 - 14:15 - Lunch break

14:15 - 15:00 - Keynote
Francois Sillion - Technical and Digital Director, CNES.

> Theme 4 - Optimization and machine learning

15:00 - 15:15 - Animation :
Francois Malgouyres - Professor, IMT - Université Toulouse 3 - Paul Sabatier / ANITI / DEEL and Edouard Pauwels - assistant professor, Université Toulouse 3 Paul Sabatier.

15:15 - 15:45 -
Jean-Christophe Pesquet - Professor, Ecole Centrale / INRIA.
Fixed point properties of neural networks.

15:45 - 16:15 -
Nicolas Couellan - Professor, Ecole Nationale de l'Aviation Civile.
Optimization and machine learning in air traffic systems, towards robust decisions.

16:15 - 16:45 - Break

16:45 - 17:15 -
Sébastien Gadat - Professor, Toulouse School of Economics.
Optimization and uncertainty: an industrial problem and a leading machine learning algorithm.

17:15 - 17:45 - 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.

17:45 - 18h00 - Conclusion