• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
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.

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.

Two reports from Russia will be presented at the main interdisciplinary conference on information processing  ‘Neural Information Processing Systems’. Dmitry Vetrov, Head of the Big Data and Information Retrieval School is co-author of both reports. One of the papers is dedicated to tensorizing neural networks, the other paper is titled ‘On Submodularity of M-Best-Diverse-Labelings’.
Conference website