Program
8:45 am- 9:15 am Coffee and registration
9:15 – 9:30 am Opening Speech Michel Kieffer
9:30 – 10:30 am Introduction by Loïc Omnes
Keynote Speaker Nataliya Sokolovska, full Professor in Computer Science, Faculty of Sciences, Sorbonne University, Laboratory of Computational and Quantitative Biology (LCQB)
Title: Interpretable models in machine learning and their application in medicine
10:45– 11:00 am Coffee break
11:00 – 12:15 Introduction by Melan Vijayaratnam
Student presentations
- Hugo Thimonier, LISN: TracInAD: Measuring Influence for Anomaly
Detection - Nina Vesseron, Marco Cuturi, CREST-ENSAE & Apple: Neural Models for
Multivariate Quantile Transforms - Constance Creux et al., IBISC: Classifying and interpreting data with
incomplete labels
12:15 – 2:00 pm Lunch break
2:00 – 2:10 pm Presentation DATAIA, par Sarah Cohen Boulakia
2:10 – 3:10 pm Introduction by Armita Khajeh Nassiri
Keynote Speaker Pierre Monnin Chercheur chez Orange
Title: Knowledge graphs: construction, matching, and mining
3:10 – 3:25 pm Introduction by Armita Khajeh Nassiri, Loic Omnes and Melan Vijayaratnam
Pitch poster of the student
3:10 – 4:45 pm Student poster and coffee break
