AI Seminar Cycle
About the Seminars
The Hi! PARIS – ELLIS Paris Unit AI Seminar Cycle is a monthly seminar series bringing together leading voices in Artificial Intelligence and Data Science. Held on the first Wednesday of each month, these seminars showcase pioneering research from world-class scholars and offer a space for exchange across disciplines. By opening the discussions to students, faculty, and partners, the series highlights the diversity of approaches within AI and fosters dialogue on its scientific, business, and societal impact.
Each seminar is anchored in Hi! PARIS’s strategic scientific themes, covering key areas such as AI theory and methods, generative and foundation models, trustworthy and sustainable AI, AI in cyberphysical systems and robotics and more. Together, these themes guide the exploration of both the foundations of AI and its transformative applications.
Hi! PARIS – ELLIS Seminar Series
The AI Seminar Cycle is organized by Hi! PARIS, in collaboration with the ELLIS program on Theory, Algorithms, and Computations of Modern Learning Systems.
This partnership aims to broaden the visibility of the seminar among the European AI research community.
Organization
Attendance is free but requires prior registration due to access restrictions. Please use the registration links below to confirm your participation. Even if you’re not certain yet, we encourage you to register in advance to secure your spot.
Upcoming sessions
No Free Lunch: From a Simultaneous (Machine) Learning Impossibility to Heisenberg Uncertainty Principle
Thursday, October 2 (2 PM – 3:30 PM) – Hybrid: Amphitheater Becquerel, École polytechnique (Click to register) I Online
Research Session on Vision
Wednesday, November 5 (11 AM – 12 PM) – Online (click to register)
Exploring Bayesian Methods
Wednesday, December 10 (11 AM – 12 PM) – Hybrid (click to register)
Robotics & AI
Wednesday, January 7 (11 AM – 12 PM) – Hybrid (click to register)
Research Session on Vision
Wednesday, February 4 (11 AM – 12 PM) – Hybrid (click to register)
Research Session on Machine learning
Wednesday, March 4 (11 AM – 12 PM) – Online (click to register)
Research Session on Machine learning
Wednesday, June 3 (11 AM – 12 PM) – Online (click to register)
Scientific Committee
Rémi Flamary (École polytechnique)
Gaël Richard (Hi! PARIS Scientific Director, Télécom Paris)
Eloïse Berthier (ENSTA)
Adriana Tapus (ENSTA)
Radu-Alexandru Dragomir (Télécom Paris)
Mathieu Fontaine (Télécom Paris)
Florence d’Alché (Télécom Paris)
Aymeric Dieuleveut (École polytechnique)
Gianni Franchi (ENSTA)