11, Pokrovsky boulevard.
Phone: +7 (495) 531-00-00 *27254
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Journal of Instrumentation. 2019. Vol. 14. No. 08. P. 1-8.
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Information Sciences. 2020. Vol. 512. P. 595-615.
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The faculty trains developers and researchers. The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. The wide range of elective courses will allow each student to create his or her own educational path. In the faculty, learning is based on practice and projects.
HSE University and Yandex invite you to joint autumn school on generative models aimed at undergraduate/graduate students and young postdoctoral fellows from pure and applied mathematics. This intense four-day workshop will consist of 3 interdisciplinary mini-courses, list of invited talks, poster session by the participants and master-classes by industrial partners. Key topics of this school:
This school is supported by the RSF grant N19-71-30020 "Applications of probabilistic artificial neural generative models to development of digital twin technology for Non-linear stochastic systems" and organised by three laboratories of HSE University:
Yandex is an industry partner of the school.
Poster Submission Guidelines:
Only posters of submitted and accepted abstracts will be offered presentation. Please note the following information for the preparation of your poster. Please bring your printed poster with you to the Conference.
Registration and more informationDate/Time:Starts 26 Nov 2019, 09:00 Ends 29 Nov 2019, 19:00
Location: Yandex, Moscow Moscow, 119021, 16, Ulitsa Lva Tolstogo room "Princeton" Chairpersons:
Ivan ArzhantsevDean: Faculty of computer science
Alexey NaumovHead of International laboratory of Stochastic Algorithms and High-dimensional inference
Dmitry VetrovHead of the centre of Deep learning and Bayesian methods
Andrey Ustyuzhanin Head of laboratory of Methods for Big Data analysis
Head of the Centre of Deep Learning and Bayesian Methods
Senior Research Fellow
Head of the International Laboratory of Stochastic Algorithms and High-Dimensional Inference