Eastern European Machine Learning Summer School

6-14 July 2022, Vilnius Lithuania

Because of the COVID-19 pandemic, EEML2022 will be a hybrid event. Check the Program page for more details.


Registration: completed. If you were accepted but did not receive the registration email, please reach out ASAP at contact at eeml dot eu.

Upon request, participants will receive a certificate from the Vilnius University with 4 ECTS credits (participation in all days of the event is mandatory).

Organising team

Doina Precup

McGill University


Ferenc Huszár

University of Cambridge

Karolina Dziugaite

McGill University


Linas Petkevičius

Vilnius University


Virtual platform

Gabriel Marchidan


Feel IT Services

Program committee

Ankur Handa, Nvidia

Bret Larsen, University of Stanford

Cătălina Cangea, DeepMind

Dalius Matuzevičius, VilniusTech

Dovydas Čeilutka, Vinted

Gheorghe Comanici, DeepMind

Ieva Kazlauskaite, University of Cambridge

Jev Gamper, Vinted

Karolina Dziugaite, Google Research

Linas Baltrunas, Wayfair

Linas Petkevicius, Vilnius University

Mahdi Haghifam, University of Toronto

Mansheej Paul, University of Stanford

Miruna Pislar, DeepMind

Nitarshan Rajkumar, University of Cambridge

Razvan Pascanu, DeepMind

Tian Jin, MIT

Viorica Patraucean, DeepMind



If you are interested in sponsoring our school, please get in touch at contact@eeml.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.