Eastern European Machine Learning summer school, Sarajevo, Bosnia and Herzegovina, 21-26 July 2025 -- APPLICATIONS OPEN

[Viorica Patraucean]

Call for Participation (apologies for crossposting)

Eastern European Machine Learning summer school
July 21-26, 2025, Sarajevo, Bosnia and Herzegovina
Web: https://www.eeml.eu
Email: contact at eeml.eu

Applications are open! Details about the application process https://www.eeml.eu/application.
Application period closes: March 31, 2025
Notification of acceptance: Early May, 2025


Registration fees and travel grants

Students (PhD, master, undergrad, high school): 100 EUR
Postdoc / faculty: 150 EUR
Industry: 400 EUR
The registration fees include catering for the entire week (except 2 dinners). The fees do not include travel and accommodation.
A number of need-based travel grants are available for accepted participants who cannot afford to attend the school. They cover fully or partially the costs of attending the school (registration fee, travel costs, accommodation).

Motivation and description

EEML is a machine learning summer school that aims to democratise access to education and research in AI in Eastern Europe, and improve diversity in the field. The summer school is held yearly in Eastern Europe – this year it will be held in person in Sarajevo, Bosnia and Herzegovina.
By bringing together high quality lecturers and participants from all over the world, we strive to enable communication and networking among the Eastern European AI communities as well as with researchers from around the world.
The school is open to participants from all over the world. The selection process has equal opportunities and diversity at heart, and will assess interest and knowledge in machine learning.
We encourage applications from candidates at all levels of expertise in Machine Learning (beginner, intermediate, advanced). Details about the application process are available online at https://www.eeml.eu/application.
The programme consists of lectures, hands-on practical sessions, panel discussions, and more. Topics covered include Basics of Deep Learning, Computer Vision, Multimodal learning, Natural Language Processing, Advanced Deep Learning Architectures, Generative Models, AI for Science, Robotics, and more.

List of confirmed speakers

Aaron Courville, Mila & Université de Montréal
Alden Hung, Isomorphic Labs
Diana Borsa, Google DeepMind & University College London
Emma Rocheteau, NHS & University of Cambridge
Ferenc Huszár, University of Cambridge
João Carreira, Google DeepMind
Mihaela Rosca, Google DeepMind
Razvan Pascanu, Google DeepMind & Mila
Samy Bengio, Apple & EPFL
Senka Krivić, University of Sarajevo & King's College London
Federico Barbero, University of Oxford
Joey Bose, University of Oxford
Katarina Petrović, University of Oxford
Liliane Momeni, Google DeepMind
Miruna Pîslar, Google DeepMind


Poster session

Participants will have the opportunity to present their research work and interests during poster sessions. The work described does not have to be novel. For example, participants can present their experience of reproducing published work.


Organizers

Doina Precup, McGill University & Google DeepMind
Razvan Pascanu, Google DeepMind & Mila
Viorica Patraucean, Google DeepMind
Petar Veličković, Google DeepMind & University of Cambridge
Hamza Merzić, Google DeepMind & University College London
Matko Bošnjak, Google DeepMind
Suad Krilašević, ANNT
Harun Muhić, ANNT
Senka Krivić, University of Sarajevo & King's College London
Ajla Karajko, International Burch University & ANNT
Vahidin Hasić, University of Sarajevo & Infineon
Zlatan Ajanović, RWTH Aachen & ANNT


Partners

Association for the Advancement of Science and Technology
Romanian Association for Artificial Intelligence
University of Sarajevo


More info

https://www.eeml.eu
contact at eeml.eu
Follow us on X/Twitter https://twitter.com/EEMLcommunity
Follow us on Bluesky https://bsky.app/profile/eemlcommunity.bsky.social