[visionlist] Eastern European Machine Learning summer school (EEML), 1-6 July 2019, Bucharest Romania -- APPLICATIONS NOW OPEN

Viorica Patraucean vpatrauc at gmail.com
Wed Jan 30 12:28:42 -05 2019


Call for Participation (apologies for crossposting)

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 are available online at
https://www.eeml.eu/application.
*Deadline for applications: March 29, 2019, 23:59 Eastern European Time*
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.

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
Antoine Bordes, FAIR
Dmitry Petrovich Vetrov, Higher School of Economics, Moscow & Samsung
Doina Precup, McGill University & DeepMind
Lucian Itu, Transilvania University of Brasov & Siemens
Nal Kalchbrenner, Google AI
Rahul Sukthankar, Google AI
Razvan Pascanu, DeepMind
Tinne Tuytelaars, KU Leuven
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


Organisers

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


Partners

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 relaxing
activities.


Scholarships

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


More info

https://www.eeml.eu
contact at eeml.eu
Follow us on Twitter https://twitter.com/EEMLcommunity
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