SHARP @AI Action Summit, Ecole Polytechnique, 6-7 February 2025
SHARP was present at the AI Action Summit, held at Ecole Polytechnique in February 2025, with several SHARP members presenting posters about recent advances of the project.
SHARP internal workshop – January 2025
A 2-day internal brainstorming workshop of the SHARP project was held at ENS de Lyon on January 24-25 2025. Each day started with an invited seminar open to all registered participants Anne-Laure Ligozat “How to evaluate the carbon footprint in AI projects” Guillaume Charpiat “Neural Network Growth for Frugal AI”…
Project meeting – ParisSanté Campus – Nov 22nd 2024
The SHARP projetct met on Nov 22nd 2024 at the Paris Santé Campus. The day combined a tutorial on diffusion models by David Picard, an overview of foundation models for physical sciences by Patrick Gallinari, several spotlight presentations. Much of the afternoon was then dedicated to a brainstorming session to…
Project meeting – ISIR – July 4th 2024
A project meeting was held at ISIR (Paris) on July 4th 2024. The day was organized around several spotlight presentations as well as a tutorial. Morning spotlights “Learning to Simplify Large Computer Vision Problems” [Loic Landrieu] “Segmenting Historical Maps with Modern Labels” [Loic Landrieu] “Understanding diffusion models” [David Picard] “Efficient…
Kickoff meeting – online – April 25th 2024
The official kickoff meeting of SHARP with the ANR was held on April 25th 2024.
Second project meeting
SHARP’s second project meeting took place at ISIR on March 13th 2024. The scientific program involved spotlight presentations on: Asynchronous decentralized optimization of machine learning models (Stéphane Rivaud) Alternatives to backpropagation for learning neural networks (Paul Caillon) Physics-informed Deep Learning (Patrick Gallinari) Sparsity and quantization in deep networks: challenges and…
First project meeting
The first meeting of the SHARP project took place in Lyon on October 23rd 2023. It gathered representatives of all the partners.