Eastern European Machine Learning summer school (EEML), Krakow, Poland, 6-11 July 2020, APPLICATIONS NOW OPEN
Razvan Pascanu
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 https://www.eeml.eu/application.
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
Organisers
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
Partners
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 activities.
Financial support
Travel grants will be offered to participants based on financial considerations.
More info
contact at eeml.eu
Follow us on Twitter https://twitter.com/EEMLcommunity