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Regular version of the site
Working paper
Spatially Adaptive Computation Time for Residual Networks

Figurnov M., Collins M. D., Zhu Y. et al.

arXiv:1612.02297. arXiv. Cornell University, 2016

Book chapter
Computing majority by constant depth majority circuits with low fan-in gates

Kulikov A., Podolskii V. V.

In bk.: 34th Symposium on Theoretical Aspects of Computer Science (STACS 2017). March 8–11, 2017, Hannover, Germany. Vol. 66. Leipzig: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2017. P. 1-14.

Book chapter
GANs for Biological Image Synthesis

Osokin A., Chessel A., Carazo Salas R. E. et al.

In bk.: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017). Venice: IEEE, 2017. P. 2252-2261.

Article
Correction to the leading term of asymptotics in the problem of counting the number of points moving on a metric tree

V.L. Chernyshev, Tolchennikov A.

Russian Journal of Mathematical Physics. 2017. Vol. 24. No. 3. P. 290-298.

Book chapter
Stochasticity in Algorithmic Statistics for Polynomial Time

Vereshchagin N., Milovanov A.

In bk.: 32nd Computational Complexity Conference. Вадерн: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, 2017. P. 1-18.

News

International Experts in the Faculty of Computer Science

An important step in integrating the university into the global educational, scientific and research space is the expansion of international recruiting. Since its very first year, the Faculty of Computer Science at the Higher School of Economics has had a foreign professor working on staff. In 2015, four internationally recruited experts teach and conduct research in the faculty.

Two Papers by Dmitry Vetrov Accepted at NIPS Conference

The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS) is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers. All of the key breakthroughs in machine learning over the last 15 years were first presented at this conference. The conference is assigned to the highest category (A*) in the CORE Conference Ranking.

Reports by Ekateina Lobacheva and Dmitry Vetrov Accepted at ICCV 2015

The reports be Ekateina Lobacheva, doctoral student, and Dmitry Vetrov, Associate Professor of the Department Dmitry Vetrov, Associate Professor at the Big Data and Information Retrieval School were accepted the organisers of the International Conference on Computer Vision, which got the highest rank A* according to the international rating of IT conferences.

Building a Simple App for Apple Watch

Gregory Tareyev, a Software Engineering student, a co-founder and iOS developer of Chill shares his experience with the international editorial AppCoda on Apple Watch development and shows how to build a simple weather app.

Head of Department Delivers a Mini-course at JetBrains in St. Petersberg

The head of the department Dmitry Vetrov has delivered a mini-course 'An Introduction to Probabilistic Language of Building Models in Machine Learning' at JetBrains in St. Petersberg.

4th International Conference on Matrix Methods in Mathematics and Applications (MMMA-2015)

4th International Conference on Matrix Methods in Mathematics and Applications, MMMA-2015, which will be held from 24th to 28th August, 2015 at Skolkovo Institute of Science and Technology, located near Moscow in Russia.

Teaching assistant of our department is starting three-month internship in DeepMind

Teaching assistant of our department (Sergey Bartunov) is starting his three-month internship in DeepMind, a research division of Google. There he will work on developing new methods of deep learning and on new new architectures of neural netowkrs.

Summer school on Machine Learning in High Energy Physics

August 27-30, St.-Petersburg. MLHEP summer school is intended to cover the relatively young area of data analysis and computational research that has started to emerge in High Energy Physics (HEP).

First Year PhD Student of the Department to Do an Internship in Austria

Dmitry Kondrashkin, a first-year PhD student of the Department, will do an internship from June 1 till August 31, 2015 at the Institute of Science and Technology, Austria.
Dmitry will work in the group of Dr. Lampert. He will do his research in the field of machine learning.

La Serena School for Data Science: Applied Tools for Astronomy

The LA SERENA SCHOOL FOR DATA SCIENCE: Applied Tools for Astronomy is an intensive week of interdisciplinary lectures focused on applied tools for handling big astronomical data. Participants will be instructed in how astronomical data are processed, accessed and analyzed, including reduction pipelines, databases, and scientific programming.  The School will be taught by an international and interdisciplinary group of professors who will use real data and examples. Participants will work on team-based projects and be provided training and access to the National Laboratory for High Performance Computing located at the University of Chile's Center for Mathematical Modeling.