[visionlist] Eastern European Machine Learning summer school (EEML), Krakow, Poland, 6-11 July 2020, APPLICATIONS NOW OPEN

Viorica Patraucean vpatrauc at gmail.com
Tue Feb 18 05:39:26 -04 2020

Call for Participation (apologies for crossposting)

Eastern European Machine Learning summer school

July 6-11, 2020, Krakow, Poland

Web: https://www.eeml.eu

Email: contact at eeml.eu

Applications are now open! Details about the application process

Application closes: March 20, 2020

Notification of acceptance: mid-April 2020.

Motivation and description

EEML is a machine learning summer school that aims to democratise access to
education and research in AI, and improve diversity in the field. The
summer school is held yearly in Eastern Europe -- this year in Krakow,
Poland. 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 of machine learning. Details about the application
process are available online https://www.eeml.eu/application.

The theme of the 2020 edition will be Deep Learning and Reinforcement
Learning. The programme consists of lectures and hands-on practical
sessions on core topics such as Reinforcement Learning, Theory of Deep
Learning, Unsupervised learning, Computer Vision, Natural Language
Processing, Neuroscience.

List of confirmed lecturers so far:

Alex Graves, DeepMind

Diana Borsa, DeepMind

Doina Precup, McGill University & DeepMind

Gergo Orban, MTA Wigner Research Centre

Jacek Tabor, GMUM Jagiellonian University

Mihaela Rosca, DeepMind

Mikhail Belkin, Ohio State University

Razvan Pascanu, DeepMind

Tomas Mikolov, CIIRC Prague

Tutorials are led by:

David Szepesvari, DeepMind

Gheorghe Comanici, DeepMind

Feryal Behbahani, DeepMind

Stanislaw Jastrzebski, New York University

Viorica Patraucean, DeepMind


Doina Precup, McGill University & DeepMind

Razvan Pascanu, DeepMind

Viorica Patraucean, DeepMind

Aleksandra Nowak, GMUM Jagiellonian University

Jacek Tabor, GMUM Jagiellonian University

Maciej Wołczyk, GMUM Jagiellonian University

Michał Królikowski, MLinPL

Michał Zmysłowski, MLinPL

Tomek Wąs, MLinPL

Wojciech Czarnecki, DeepMind

Technical support: Gabriel Marchidan, IasiAI & Feel IT Services


GMUM Jagiellonian University, Krakow, Poland

MLinPL Association

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.

Social events

The programme includes several opportunities for socialising and
networking, such as welcome reception, gala dinner, team-building

Financial support

Travel grants will be offered to participants based on financial

More info


contact at eeml.eu

Follow us on Twitter https://twitter.com/EEMLcommunity
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