Eastern European Machine Learning Summer School

1-9 July 2020, Virtual Krakow Poland


Deep Learning and Reinforcement Learning

Taking into account the COVID-19 situation, we have decided that EEML will go virtual this year.

Registration will be free for all accepted candidates!

Check the Program page for details about the exciting new elements added to the online format of EEML.

We have extended the dates of the school to better accommodate the online format.

Important dates

Applications deadline: April 30 anywhere on Earth (= Friday May 1st, 2pm Warsaw time) passed

Notification of acceptance: 31 May 2020 anywhere on Earth

Speakers (more coming soon)

Lectures

Alex Graves

DeepMind

Diana Borsa

DeepMind

Doina Precup

McGill University

DeepMind

Gergő Orbán

MTA Wigner Research Centre

Jacek Tabor

Jagiellonian University

Kyunghyun Cho

NYU/Facebook

Mikhail Belkin

Ohio State University

Natalia Neverova

Facebook AI Research, Paris

Tomas Mikolov

CIIRC, Prague

Fireside sessions

David Silver

DeepMind

University College London

Raia Hadsell

DeepMind

Tutorials

Scientific committee

Csaba Szepesvari

Diana Borsa

Doina Precup

Gergo Orban

Jacek Tabor

Krzysztof Geras

Luigi Malago


Mihaela Rosca

Rada Mihalcea

Razvan Pascanu

Stanisław Jastrzębski

Traian Rebedea

Viorica Patraucean

Wojciech Czarnecki

Organising team

Doina Precup

Razvan Pascanu

Viorica Patraucean

Aleksandra Nowak

Jacek Tabor

Maciej Wołczyk

Michał Zmysłowski

Tomek Wąs

Wojciech Czarnecki

Technical support: Gabriel Marchidan

Partners

Sponsors

If you are interested in sponsoring our initiative, please get in touch at contact@eeml.eu to find out more about the benefits we offer to sponsors.

The previous editions of the school can be found at TMLSS2018 (report) and EEML2019 (report).