NeurIPS@Paris 2023
6th and 7th of December
Sorbonne Center for Artificial Intelligence (SCAI)


The Conference on Neural Information Processing Systems (abbreviated as NeurIPS) is one of the main machine learning conference. NeurIPS@Paris 2023 is a 2-day event that takes place at Sorbonne Université on the 6 th and 7 th of December. Its primary focus is to provide a human scale environment that is conducive to exciting scientific exchanges and networking within the machine learning community.

Authors of accepted papers at NeurIPS 2023 are given the opportunity to present their work through a short oral presentation and a poster session. All students and researchers are welcome. The event will also feature mentoring sessions with renowned senior researchers from all parts of the community.

Please note that this event is in person only: we will neither record presentations nor include online options.


This event will take place at Campus Jussieu (4, Place Jussieu Paris 5ème).

To access by metro, go to station Jussieu on the line 10.

The presentations will be held in amphithéâtre 25. All social events (poster sessions, mentor and career sessions, cocktail and lunch) will be held at SCAI, which is located within Jussieu. A map of Jussieu is available here.



Registration are now closed. We kindly ask you not to contact us for late registration.


A detailled list of papers for each session is available here.

Day 1 : 06.12.2023

Time Place Description
13:00 - 13:15 Amphi 25 (Jussieu) Introduction Speech
13:15 - 14:45 Amphi 25 (Jussieu) Session 1: Theoretical Deep Learning and Optimization
14:45 - 15:15 Amphi 25 (Jussieu) Coffee Break
15:15 - 16:45 Amphi 25 (Jussieu) Session 2: Theoretical ML and Optimal Transport
16:45 - 18:00 SCAI (Jussieu) Poster Session
18:00 - 19:00 SCAI (Jussieu) Cocktail

Day 2 : 07.12.2023

Time Place Description
09:15 - 10:45 Amphi 25 (Jussieu) Session 3: Applied ML
10:45 - 11:15 Amphi 25 (Jussieu) Coffee break
11:15 - 11:30 Amphi 25 (Jussieu) WIMLDS Guest Session
11:30 - 12:45 Amphi 25 (Jussieu) Session 4: Bandits, RL and Physics-Informed ML
12:45 - 14:00 SCAI (Jussieu) Lunch (provided)
14:00 - 15:15 SCAI (Jussieu) Poster Session
15:00 - 16:00 SCAI (Jussieu) Mentoring


Francis Bach (INRIA)
Gérard Biau (Sorbonne Université)
Liva Ralaivola (Criteo)
Vianney Perchet (Criteo, ENSAE)
Jean-Philippe Vert (Owkin)

Linus Bleistein (INRIA)
Edwige Cyffers (INRIA)
Nathan Doumèche (Sorbonne Université, EDF)
Adeline Fermanian (Califrais)


This event is supported by Apple, Criteo, Google, G-Research and Owkin.


If you have any question, please contact us at

Photo credit: marlenedd