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.

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 Eindhoven University of Technology (TU/e) (Eindhoven, the Netherlands).

The TU/e campus is at the heart of Brainport, Europe’s most innovative technology region. The region is known for its innovative strength and multi-disciplinary way of working. Companies and organizations excel at inventing, developing and integrating the world’s most complex high-tech machines, systems, components and products with utmost precision and unprecedented accuracy. Our university campus is located near the train station and the city centre, a half-hour drive from the Eindhoven Airport and a 5 min walking distance from the train station (Eindhoven Centraal).

More information how to get to the campus could be found here.

• On Monday, Tuesday and Wednesday, we will have lectures in Atlas, room 0.820.
• On Thursday and Friday, we will have lectures in Gemini South, lecture room.

GeMSS as a Course

GeMSS could be treated as a PhD course worth ECTS (the amount of the points depends on university's guidelines). After attending the summer school, a certificate of the attendence and the accomplishment could be provided.

In order to obtain an official certificate, a participant must fulfill the following components (all components will be graded pass/fail):

• attending the lectures;
• accomplishing both assignments;
• presenting a poster.

NOTE: All non-PhD-student participants will obtain a certificate of the course accomplishment/attendence as well.

Course material

Most of the material presented during the first three days of the summer school is based on the book Deep Generative Modeling (2022) by Jakub Tomczak. We highly suggest starting reading the relevant chapters before the summer school. Moreover, in the assignments (the Colab notebooks, which will be shared before the summer school), we provide the recommended reading for each assignment.

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 following submission system (please create a submission, do not register yet).

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

Application deadline: April 3, 2024 (23:59 Central European Summer Time).

Selection Process

We aim for selecting a group of about 130 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: 400EUR
• Industrial applicants: 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.

IMPORTANT: After the selection for the summer school, you are obliged to pay the registration fee through the following registration system.

Organisation & Sponsors

The summer school is jointly organised by:

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

The local organising team:

• Vlado Menkovski, Eindhoven University of Technology
• Sibylle Hess, Eindhoven University of Technology
• Babak Esmaeili, Eindhoven University of Technology
• Mahdi Mehmanchi, Eindhoven University of Technology
• Maryam Tavakol, Eindhoven University of Technology
• Elahe Arani, Eindhoven University of Technology
• Sharvaree Vadgama, University of Amsterdam
• Anna Kuzina, Vrije Universiteit Amsterdam

Contact

For matters regarding the summer school, please contact .

Sponsors