Hi! PARIS Summer School 2023

This year’s third edition of the Hi! PARIS Summer School will feature several tutorials on a wide range of topics in Artificial Intelligence and Data Science from different perspectives with two parallel tracks, « Data Science and AI for Business and Society » and « Theory and Methods of AI«  and keynote addresses from several globally acclaimed academicians. The four-day program also includes industry and academic panels targeted at initiating fruitful research conversations.

Program

The program offers short courses on a wide range of topics including use of data in fintech lending, deep learning for image recognition and computer vision, learning with messy data, graph-based anomaly and fraud detection, causal inference using machine learning, operationalizing AI regulations, self-supervised learning, game theory and statistical learning. For this 3^rd edition, Hi! PARIS Summer School proposes :

• 4 keynote speakers confirmed : Alessandro Acquisti (CMU), Eric Moulines (Ecole Polytechnique, IP Paris and Hi! PARIS scientific co-director), Bryan Perozzi (Stonybrook & Google), Sameer B. Srivastava (Berkeley)
• 1 Academic Round Table with participation of keynote speakers (Alessandro Acquisti, Bryan Perozzi, Sameer B. Srivastava) and Gaël Richard (Télécom Paris, IP Paris and Hi! PARIS scientific co-director)
• 1 Industry panel with participation of the Hi! PARIS corporate donors
• 12 tutorials (3h long) organized in 2 parallel tracks. Track A “Data Science for Business and Society” and Track B “Theory and methods of IA” [Track A] Mitali Banerjee (HEC), Pablo Baquero (HEC), Johan Hombert (HEC), Jermain C. Kaminiski (Maastricht), Poonacha Medappa (Tilburg), Aluna Wang (HEC) ; [Track B] Chloé Clavel (Telecom Paris), Pietro Gori (Telecom Paris), Patrick Loiseau (Inria), Vicky Kalogeiton (Ecole Polytechnique), Jesse Read (Ecole Polytechnique), Gaël Varoquaux (Inria Centre de Saclay)
• 2 practical session sby the Hi! PARIS Engineering Team: “Learn how to develop your own Python Package !” and “Learn how to build a machine learning pipeline and track the run performances !”
• 1 poster session and its poster award