About the Seminars The Hi! PARIS 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. Organization Attendance is free but requires prior registration due to access restrictions. Please use the registration link 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 Xiao-Li Meng, Harvard University 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 Personal Webpage Elisa Ricci, University of Trento (Hi! PARIS SAB Member) Research Session on Vision Wednesday, November 5 (11 AM – 12 PM) – Online (click to register) Personal Webpage Pavel Izmailov, New York University Exploring Bayesian Methods Wednesday, December 10 (11 AM – 12 PM) – Online (click to register) Personal Webpage Oriane Siméoni, valeo.ai Research Session on Vision Wednesday, February 4 (11 AM – 12 PM) – Online (click to register) Personal Webpage Francis Bach, Inria Research Session on Machine learning Wednesday, June 3 (11 AM – 12 PM) – Online (click to register) Personal Webpage 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)
