Optimization for Machine Learning is in the spotlight of the Hi! PARIS Reading groups in October-December 2024, a scientific networking action gathering affiliates and corporate donors around important topics of the moment!
The Sacl-AI for Science Workshop brings together faculty, researchers, and students interested in applying machine learning to scientific problems. It introduces foundational ML topics for novices and provides a platform for researchers to present their work and network.
Judged on its excellence regarding teaching, research, innovation and technological transfer, as well as on the variety of its training, the consortium led by HEC Paris and the Institut Polytechnique de Paris (École polytechnique, ENSTA, ENSAE, Telecom Paris, Telecom SudParis) and bringing together Inria, the CNRS, the Ecole Nationale des Ponts et Chaussées and the Université de Technologie de Troyes, wins the Project Call Cluster AI.
L’Hémicycle’s special issue showcases the Hi! PARIS Center’s achievements and vision, highlighting how it drives excellence in AI and data science research, education, and innovation.
Join us for two compelling research seminars at Télécom Paris, featuring world-renowned experts, Professor Facundo Memoli and Professor Julia Kempe. These seminars are designed to provide deep insights into the mathematical underpinnings of distances in metric spaces and the evolving challenges in AI as it scales.
With over 21% of public research and 15% of private R&D in France, Paris-Saclay is the #1 deeptech cluster in Europe, bringing together key players and fostering a dynamic that is unique on the territory.
Discover the latest in numerical optimization with renowned speakers like Laurent Lessard at École Polytechnique’s event, where you’ll also witness an engaging thesis defense by Baptiste Goujaud.
The third Meet Up! event organized by Hi! PARIS is about “AI & Ethics”. Save-the date : April 22, 2024 (6:30-8:30 pm), hosted by corporate donor Capgemini.
Diffusion models for image generation are in the spotlight of the Hi! PARIS Reading groups in February-May 2024, a scientific networking action gathering affiliates and corporate donors around important topics of the moment!
In this seminar, Bharath Sriperumbudur will talk about the Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity.