[visionlist] Eastern European Machine Learning summer school (in-person), Novi Sad, Serbia, 15-20 July 2024 -- DEADLINE March 29

[Viorica Patraucean]

Call for Applications (apologies for crossposting)

Eastern European Machine Learning summer school (in-person)

July 15-20, 2024, Novi Sad, Serbia

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 29, 2024

Notification of acceptance: Early May, 2024


Registration fees

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.



Travel grants


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 Novi Sad, Serbia.

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 Machine Learning,
Multimodal learning, Natural Language Processing, Advanced Deep Learning
architectures, Generative models, AI for Science, and more.


List of confirmed speakers

Aleksandra Faust, Google DeepMind

Alfredo Canziani, New York University

Chris Dyer, Google DeepMind

Doina Precup, McGill University & Google DeepMind

Jovana Mitrović, Google DeepMind

Kyunghyun Cho, New York University & Genentech

Martin Vechev, ETH Zürich & INSAIT

Michael Bronstein, University of Oxford

Mihaela van der Schaar, University of Cambridge

Nenad Tomašev, Google DeepMind

Razvan Pascanu, Google DeepMind

Sander Dieleman, Google DeepMind

Velibor Ilić, Institute for AI Research and Development of Serbia

Vladimir Gligorijević, Genentech

Yee Whye Teh, University of Oxford & Google DeepMind

Anastasija Ilić, Google DeepMind

Andreea Deac, Mila & Université de Montréal

Cristian Bodnar, Microsoft Research

Ioana Bica, Google DeepMind

Iulia Duță, University of Cambridge

Matko Bošnjak, Google DeepMind

Ognjen Milinković, University of Belgrade

Petar Veličković, Google DeepMind & University of Cambridge


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

Viorica Patraucean, Google DeepMind

Branislav Kisačanin, NVIDIA & Institute for AI Research and Development of
Serbia

Dubravko Ćulibrk, Institute for AI Research and Development of Serbia

Matko Bošnjak, Google DeepMind

Nemanja Rakićević, Google DeepMind

Petar Veličković, Google DeepMind & University of Cambridge

Gabriel Marchidan, IasiAI & Feel IT Services


Main partner

The Institute for Artificial Intelligence Research and Development of Serbia

More info

https://www.eeml.eu

contact at eeml.eu
Follow us on X/Twitter https://twitter.com/EEMLcommunity
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