Summer Schools

Paris Generative AI Autumn School

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Paris Generative AI Autumn School
Date de tri
Lieu de l'événement
Paris-Saclay University


Don't miss the Paris Generative AI Autumn School, from October 21 to 25, 2024, on the Université Paris-Saclay Campus!
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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, then speakers from different scientific fields will present the most recent applications and developments. The aim is to bring together different speakers to cover a wide range of fields of study and offer participants an overview of generative AI and its applications.

Topics covered

  • Foundations of generative models: VAE, GAN and diffusion models
  • Image and video generation
  • Large linguistic 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
  • Economic models
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🎤 Confirmed speakers

  • Xavier Alameda-Pineda - Inria
  • Antoine Bosselut - EPFL
  • Claire Boyer - Sorbonne University
  • Merouane Debbah - Khalifa University
  • Eric Moulines - Ecole Polytechnique
  • Claire Monteleoni - University of Colorado Boulder/INRIA
  • Gaël Richard - IPP/Télécom Paris
  • Robin (Yunhao) Tang - DeepMind London
  • Denis Trystam - Grenoble INP,

🧠 Scientific Commitee

  • Michel Kieffer (Université Paris-Saclay, CentraleSupélec, L2S)
  • Stéphane Lathuilière (IPP/Télécom Paris)
  • Mustapha Lebbah (Université Paris-Saclay, UVSQ, DAVID Lab)

Local Organization

  • Marie Laveau
  • Almira M.
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1- Before you apply
Requirements :
- Expected basic knowledge of Python
- Expected basic knowledge of PyTorch and/or TensorFlow
- Introduction to PyTorch
- Introduction to TensorFlow
To be (more) ready :
- Learning transformers with PyTorch
- NLP with PyTorch: A complete guide
- Using an open source model
- High-level APIs (for further reading)

2- Application
You will first be asked to apply to our school, then, after a review process, you will receive a link to register definitively.
There will be two application rounds:

  • From May 15 to June 16 (23:59 Paris time). Notification of acceptance: after July 1
  • From June 17 to July 17 (23:59 Paris time)

The second round will mainly be aimed at new doctoral students who will be shortlisted for doctoral scholarships in June.
If you are a doctoral student, you will be asked to provide a CV and cover letter to apply.
If you are an academic, you will be asked to provide a link to your personal page.
Our maximum capacity is 100 participants.

3 - Registration
Registration fees :

  • Students (PhD students): €100
  • Universities: €250
  • Industry: €500

The school is supported by the Institut Polytechnique de Paris, Université Paris-Saclay, Institut DATAIA and Hi!Paris. Fees cover lectures, lab sessions, coffee breaks, lunches and a gala dinner. Please note that accommodation and travel expenses are not covered.

You will have the option of paying by credit card or purchase order. If you pay by credit card, you will receive a payment receipt and a payment certificate. You must pay with a purchase order if you need an invoice.