About

The summer school is targeted toward PhD students working with data science and/or AI broadly, and for whom generative modeling potentially plays a part in their projects. In particular, the program is designed to accommodate both students doing methodological data science research (e.g., machine learning, statistics, and AI) and students doing applied data science research (e.g., bioinformatics, computational physics, computational chemistry, and computational social science). Furthermore, the course will also be open to postdocs and more senior researchers from the industry as continual training in AI.

This year, GeMSS will be colocated with Statlearn. Statlearn is a scientific workshop held every year, which focuses on current and upcoming trends in statistical learning. Statlearn is a scientific event of the French Society of Statistics (SFdS) that has been organised since 2010. Conferences and spring school are organised alternatively every other year.

Lecturers

The first three days will be taught by the main lectures, while there will be invited lectures giving tutorials the last two days.

Program

Venue

The Summer School will be hosted at the Inria Centre at Université Côte d’Azur (Sophia Antipolis, France). Sophia Antipolis is a large tech park located in a forest in the French Riviera, near the cities of Nice, Antibes, and Cannes.

The most convenient option will be to choose an accomodation in Antibes, since public transportation between Antibes and Sophia Antipolis is quite efficient. It is also possible to stay in Sophia Antipolis or in one of the nearby villages like Biot. There is also a bus between Nice and Sophia Antipolis. For more details on how to reach the Inria campus, see here.

Submission & Registration

Application

Please prepare a single PDF file that contains the following information in the given order:

• one A4 page describing your research, preferably in a poster format;
• a one-page CV;
• students only: a one-page letter of confirmation that you are a PhD student from your supervisor;

Please upload this single file to the Statlearn website (please create a submission, do not register yet).

An example of an application could be found here: [PDF].

Application deadline: January 27, 2025 (23:59 Central European Summer Time).

Selection Process

We aim for selecting a group of about 150 participants (the max. capacity of lecture rooms). The selection process will be based on the submitted material and will be executed by the organisers. We will look into your background (e.g., expertise, relevance) and your experience. We expect from the participants the following: a good familiarity with Python and PyTorch, and a basic knowledge of calculus, linear algebra, probability theory and statistics.

Registration Fee

• PhD students: 300EUR
• Academic participants: 400EUR
• Industrial participants: 800EUR

The registration fee includes participating in all lectures, coffee breaks, lunches and the banquet. All other costs not specified in the previous sentence (e.g., accomodation, travels, communication, other meals) are NOT provided by the organisers.

Organisation

GeMSS committe:

• Jes Frellsen (Technical University of Denmark)
• Pierre-Alexandre Mattei (Inria, Université Côte d'Azur)
• Jakub M. Tomczak (Eindhoven University of Technology)

Statlearn committe:

• Charles Bouveyron (Université Cote d’Azur, Inria)
• Irene Balleli (Inria, Université Côte d'Azur)
• Marco Corneli (Université Cote d’Azur)
• Mathieu Emily (Agrocampus Ouest)
• Chloé Friguet (Univ. Bretagne-Sud)
• Julien Jacques (Univ. Lyon)
• Pierre Latouche (Univ. Clermont-Auvergne)
• Pierre-Alexandre Mattei (Inria, Université Côte d'Azur)

Contact

For matters regarding the summer school, please contact .