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