In view of the health situation in France, the school is postponed to a later date. We will communicate this date as soon as possible on this page.


This school offers courses, conferences and workshops on neural networks applied to a very large number of fields, from vision to law. It brings together researchers from Sorbonne University, international colleagues and scientists from the industry, in order to offer a global vision of the contemporary AI landscape. The summer school is offered at the PhD level. The school is free of charge and will take place in Paris. It does not cover housing and meals during the stay in Paris.

The detailed program of the school is available here (PDF format).

Pre-registration is done using the form available here. The form is for pre-registration only. A confirmation will be sent before June 1st, 2020.



09h00 Welcome breakfast @ SCAI // Gérard Biau (Sorbonne University)
10h00 Deep Learning and dynamic systems, between machine learning and numerical analysis (Lecture) // Patrick Gallinari (Sorbonne University)
12h30 Lunch break
14h00 Reinforcement learning and Bayesian inference (Lecture & hands-on) // Kenji Doya (Okinawa Institute of Science and Technology)
18h00 Guest lecture: There is no such thing as Artificial Intelligence // Luc Julia (Samsung)

09h30 Advanced neural networks for predictive oncology (Lecture & hands-on) // Olivier Cussenot (Sorbonne University & Paris Hospitals) & Stéphane Gazut (CEA)
12h30 Lunch break
14h00 Computer vision & Autonomous driving (Lecture & hands-on) // Matthieu Cord (Sorbonne University &
18h00 Guest lecture: De l’autre côté de la machine. Voyage d’une scientifique au pays
des algorithmes // Aurélie Jean

09h30 Probabilistic generative models for music and creative AI (Lecture & hands-on) // 
Philippe Esling (Sorbonne University & Ircam)
12h30 Lunch break
16h00 Guest lecture // TBD

09h30 Unsupervised learning, climate issues & examples (Lecture & hands-on) // 
Sylvie Thiria (LOCEAN), Anastase Charantonis (ENSIIE), Carlos Mejia (LOCEAN)
12h30 Lunch break - Poster session
14h00 Advanced neural networks for Cultural Heritage studies & historical OCR (Lecture &
hands-on) // Marcus Liwicki (LTU, Sweden)
18h00 Lecture on Law & Neural Networks // Arnaud Latil (Sorbonne University)

09h30 PROJECT // Philippe Esling (Ircam)
12h30 Lunch break
14h00 PROJECT // Philippe Esling (Ircam)
19h00 Farewell Cocktail Salle 2400 Zamansky Tower (Jussieu)