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Eastern European Machine Learning summer school (EEML), Bucharest, Romania, 1-6 July 2019

Call for Participation

Eastern European Machine Learning summer school

July 1-6, 2019, Bucharest, Romania

Web: https://www.eeml.eu

Email: contact at eeml.eu


Details about the application process will become available at the beginning of January.

Application opens: January 30, 2019

Application closes: March 29, 2019

Notification of acceptance: first round April 19, 2019; second round April 26, 2019


Motivation and description

EEML is a machine learning summer school that aims to promote topics around machine learning and artificial intelligence and to encourage research in these fields. The summer school will be held in Eastern Europe – this year in Bucharest, Romania. By bringing together high quality lecturers and participants from all over the world, we strive to enable communication and networking among the Eastern Europe research communities and students as well as with  researchers and groups 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. More details about the application process will be available soon on our website www.eeml.eu.

The theme of the 2019 edition will be Deep Learning and Reinforcement Learning. The programme consists of lectures and hands-on practical sessions on core topics such as Computer Vision, Natural Language Processing, Reinforcement Learning, and Generative Models. Additional advanced topics include Medical Imaging and Bayesian Learning.


List of confirmed lecturers so far:

Anca Dragan, UC Berkeley

Andrew Zisserman, University of Oxford & DeepMind

Dmitry Petrovich Vetrov, Higher School of Economics, Moscow & Samsung

Doina Precup, McGill University & DeepMind

Lucian Itu, Transilvania University of Brasov & Siemens

Razvan Pascanu, DeepMind

Volodymyr Mnih, DeepMind

Zeynep Akata, University of Amsterdam & Max Planck Institute for Informatics


Labs are led by:

David Szepesvari, DeepMind

Diana Borsa, DeepMind & University College London

Mihaela Rosca, DeepMind

Viorica Patraucean, DeepMind



Doina Precup, McGill University & DeepMind

Razvan Pascanu, DeepMind

Viorica Patraucean, DeepMind

Elena Burceanu, Bitdefender

Gabriel Marchidan, IasiAI & Feel IT Services

Marius Leordeanu, Politehnica University of Bucharest & IMAR

Traian Rebedea, Politehnica University of Bucharest



Politehnica University of Bucharest, Faculty of Automatic Control and Computer Science

Romanian Association for Artificial Intelligence


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, half-day visit around Bucharest.



A limited number of scholarships will be offered to participants based on financial considerations.