Eastern European Machine Learning Summer School

15-20 July 2024, Novi Sad, Serbia



Important dates

Applications period is open. Check the Application page.

Deadline for applications: 29 March 2024, 23:59 (Anywhere on Earth).

Notification of acceptance: Early May 2024

Speakers

Our speakers will cover the following topics: Basics of Machine Learning, Multimodal learning (and Computer Vision), Natural Language Processing, Advanced Deep Learning architectures, Generative models, Reinforcement Learning, AI for Science.

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

Yee Whye Teh

University of Oxford

Google DeepMind

Tutorial leads

Anastasija Ilić

Google DeepMind

Andreea Deac

Isomorphic Labs

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

Teaching assistants: TBD

Organising team

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

Technical support

Gabriel Marchidan

IasiAI 

Feel IT Services

Partners

Sponsors

If you are interested in sponsoring our school, please get in touch at contact at eeml dot eu to find out more about the benefits available for sponsors.

The previous editions of the school can be found at TMLSS2018 (report), EEML2019 (report), EEML2020, EEML2021, EEML2022 (report), EEML2023.