[visionlist] Eastern European Machine Learning summer school (EEML), Virtual Budapest, Hungary, 7-15 July 2021, DEADLINE FOR APPLICATIONS March 31, 2021

Viorica Patraucean vpatrauc at gmail.com
Sat Mar 6 12:13:54 -04 2021

Call for Participation (apologies for crossposting)

Eastern European Machine Learning summer school (**online**)
July 7-15, 2021, Virtual Budapest, Hungary
Web: https://www.eeml.eu
Email: contact at eeml.eu

Applications are open! Details about the application process
Application closes: March 31, 2021
Notification of acceptance: End of April 2021.

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 it will be
online because of the pandemic, but in spirit it will be in Virtual
Budapest, Hungary. 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 in machine learning. Details about the application
process are available online https://www.eeml.eu/application.

The programme consists of lectures, fireside chats, reading groups,
brainstorming sessions, 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 speakers so far:

Aaron Courville, University of Montreal & MILA
Alexey Dosovitskiy, Google Brain
Csaba Szepesvári, University of Alberta & DeepMind
Doina Precup, McGill University & DeepMind
Ferenc Huszár, University of Cambridge
Josef Sivic, Inria France & CTU Prague & ELLIS
Karolina Dziugaite, Element AI
Mihaela van der Schaar, University of Cambridge
Rada Mihalcea, University of Michigan
Gergo Orban, MTA Wigner Research Centre
Razvan Pascanu, DeepMind
Regina Barzilay, MIT


Doina Precup, McGill University & DeepMind
Razvan Pascanu, DeepMind
Viorica Patraucean, DeepMind
David Szepesvari, DeepMind
Ferenc Huszar, University of Cambridge
Gergo Orban, MTA Wigner Research Centre
Technical support: Gabriel Marchidan, IasiAI & Feel IT Services


MTA Wigner Research Centre

Poster session

Participants will have the opportunity to present their research work and
interests during virtual poster sessions. The work described does not have
to be novel. For example, participants can present their experience of
reproducing published work.

More info

contact at eeml.eu

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