21-25 October 2024,
Building 640, Université Paris-Saclay
Discover Generative AI: Applications and Perspectives
Our thematic school aims to provide an overview of the latest advances in generative AI. Beyond its use in NLP, we will present the methodological and theoretical foundations and their applications to practical and industrial cases.
The basic methodological tools will be presented, and then speakers from different scientific fields will present the most recent applications and developments. The aim is to bring together various speakers to cover a broad range of fields of study and offer participants an overview of generative AI and its applications.
Topics will include
- Foundations of generative models: VAE, GAN, and diffusion models
- Image and video generation
- Large Language Models and advanced techniques (e.g. RAG)
- Audio signal generation
- Generative models for compression
- Ethics of generative AI
- Multimodal generation
- Applications to medical data
- Applications to robotics
- Frugal models
Target audience
- Master/PhD students or Researchers with a background in AI/ML interested in the latest advances in generative AI.
- Master/PhD students or Researchers from other fields eager to explore the potential of generative AI for their work.
If you fit either description, this autumn school is for you!
Registration
There will be two rounds for applications:
– From Mai 15 to June 16 (23:59 Paris time).
– From June 17 to July 17 (23:59 Paris time).
Scientific committee
Mustapha Lebbah
Université Paris-Saclay,
UVSQ, DAVID Lab
– Scientific officer –
Stéphane Lathuilière
Institut Polytechnique de Paris
Télécom Paris
Michel Kieffer
Université Paris-Saclay, CentraleSupélec, L2S
Local Arrangement
Marie Laveau
Computer Science Graduate School
Université Paris-Saclay
Almira MUSA
Computer Science Graduate School
Université Paris-Saclay
