Eastern European Machine Learning summer school (in-person), Kosice, Slovakia -- Application deadline March 31st, 2023

[Viorica Patraucean]

Call for Participation (apologies for crossposting)

Eastern European Machine Learning summer school (in-person)
July 9-16, 2023, Kosice, Slovakia
Web: https://www.eeml.eu
Email: contact at eeml.eu


Applications are open! Details about the application process https://www.eeml.eu/application.
Application closes: March 31, 2023
Notification of acceptance: End of April 2023


Registration fees

Students (PhD, master, undergrad, high school): 100 EUR
Postdoc / faculty: 150 EUR
Industry: 400 EUR


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 held in person in Kosice, Slovakia.

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.

We encourage applications from candidates at all levels of expertise in Machine Learning (beginner, intermediate, advanced). Details about the application process are available online at https://www.eeml.eu/application.

The programme consists of lectures, hands-on practical sessions, panel discussions, and more. Topics covered include Reinforcement Learning, Natural Language Processing, Computer Vision, Theory of Deep Learning, Ethics, Robotics, and more.


List of confirmed speakers (more coming soon)

Ankur Handa, Nvidia
Doina Precup, McGill University & DeepMind
El Mahdi El Mhamdi, École Polytechnique Paris
Michal Valko, DeepMind & Inria
Peter Richtárik, KAUST
Razvan Pascanu, DeepMind


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.


Organizers

Doina Precup, McGill University & DeepMind
Razvan Pascanu, DeepMind
Viorica Patraucean, DeepMind
Andrea Lee, ESET
Katarina Mayer, ESET
Michal Valko, DeepMind & Inria


Main partner

ESET

Sponsors

DeepMind

Innovatrics

Local partners

Technical University of Kosice
AISlovakia


More info

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