|
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
*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 visit around Bucharest.
*Scholarships*
A limited number of scholarships will be offered to participants based on financial considerations.
*Contact*
For any questions please use contact[at]eeml.eu
|
