Institution
National Research University – Higher School of Economics
Education•Moscow, Russia•
About: National Research University – Higher School of Economics is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Politics. The organization has 12873 authors who have published 23376 publications receiving 256396 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors analyzed the emergence of SARS-CoV-2 in Russia in March and April 2020 and found that the sampled viral diversity has originated from at least 67 closely timed introductions into Russia, mostly in late February to early March.
Abstract: The ongoing pandemic of SARS-CoV-2 presents novel challenges and opportunities for the use of phylogenetics to understand and control its spread. Here, we analyze the emergence of SARS-CoV-2 in Russia in March and April 2020. Combining phylogeographic analysis with travel history data, we estimate that the sampled viral diversity has originated from at least 67 closely timed introductions into Russia, mostly in late February to early March. All but one of these introductions were not from China, suggesting that border closure with China has helped delay establishment of SARS-CoV-2 in Russia. These introductions resulted in at least 9 distinct Russian lineages corresponding to domestic transmission. A notable transmission cluster corresponded to a nosocomial outbreak at the Vreden hospital in Saint Petersburg; phylodynamic analysis of this cluster reveals multiple (2-3) introductions each giving rise to a large number of cases, with a high initial effective reproduction number of 3.0 [1.9, 4.3].
52 citations
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TL;DR: This work presents a highly optimized implementation of the population annealing algorithm on GPUs that promises speed-ups of several orders of magnitude as compared to a serial implementation on CPUs.
52 citations
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23 Jun 2014TL;DR: The instability of LDA inference is investigated, a new metric of similarity between topics and a criterion of vocabulary reduction are proposed, and the limitations of the LDA approach are shown for the purposes of qualitative analysis in social science.
Abstract: Topic modeling, in particular the Latent Dirichlet Allocation (LDA) model, has recently emerged as an important tool for understanding large datasets, in particular, user-generated datasets in social studies of the Web. In this work, we investigate the instability of LDA inference, propose a new metric of similarity between topics and a criterion of vocabulary reduction. We show the limitations of the LDA approach for the purposes of qualitative analysis in social science and sketch some ways for improvement.
52 citations
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TL;DR: The authors analyzes a sequential search model where firms face identical but stochastic production costs, the realizations of which are unknown to consumers, and characterizes a perfect Bayesian equilibrium satisfying a reservation price property and provides a sufficient condition for such an equilibrium to exist.
Abstract: This article analyzes a sequential search model where firms face identical but stochastic production costs, the realizations of which are unknown to consumers. We characterize a perfect Bayesian equilibrium satisfying a reservation price property and provide a sufficient condition for such an equilibrium to exist. We show that (i) firms set on average higher prices and make larger profits compared to the scenario where consumers observe production costs, (ii) expected prices and consumer welfare can be non-monotonic in the number of firms, and (iii) the impact of production cost uncertainty vanishes as the number of firms becomes very large.
52 citations
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Technical University of Dortmund1, Yandex2, National Research University – Higher School of Economics3, Paris Diderot University4, Massachusetts Institute of Technology5, University of Santiago de Compostela6, Maastricht University7, Carlos III Health Institute8, CERN9, Spanish National Research Council10, University of Bologna11, National University of Science and Technology12, Federal University of Rio de Janeiro13, University of Cincinnati14, La Salle University15
TL;DR: The implementation, named Allen, can process the 40 Tbit/s data rate of the upgraded LHCb detector and perform a wide variety of pattern recognition tasks, and is the first complete high-throughput GPU trigger proposed for a HEP experiment.
Abstract: We describe a fully GPU-based implementation of the first level trigger for the upgrade of the LHCb detector, due to start data taking in 2021. We demonstrate that our implementation, named Allen, can process the 40 Tbit/s data rate of the upgraded LHCb detector and perform a wide variety of pattern recognition tasks. These include finding the trajectories of charged particles, finding proton–proton collision points, identifying particles as hadrons or muons, and finding the displaced decay vertices of long-lived particles. We further demonstrate that Allen can be implemented in around 500 scientific or consumer GPU cards, that it is not I/O bound, and can be operated at the full LHC collision rate of 30 MHz. Allen is the first complete high-throughput GPU trigger proposed for a HEP experiment.
52 citations
Authors
Showing all 13307 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rasmus Nielsen | 135 | 556 | 84898 |
Matthew Jones | 125 | 1161 | 96909 |
Fedor Ratnikov | 123 | 1104 | 67091 |
Kenneth J. Arrow | 113 | 411 | 111221 |
Wil M. P. van der Aalst | 108 | 725 | 42429 |
Peter Schmidt | 105 | 638 | 61822 |
Roel Aaij | 98 | 1071 | 44234 |
John W. Berry | 97 | 351 | 52470 |
Federico Alessio | 96 | 1054 | 42300 |
Denis Derkach | 96 | 1184 | 45772 |
Marco Adinolfi | 95 | 831 | 40777 |
Michael Alexander | 95 | 881 | 38749 |
Alexey Boldyrev | 94 | 439 | 32000 |
Shalom H. Schwartz | 94 | 220 | 67609 |
Richard Blundell | 93 | 487 | 61730 |