Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bourgeois, Dylan"'
Publikováno v:
The Web Conference 2019 (WWW '19)
Information about world events is disseminated through a wide variety of news channels, each with specific considerations in the choice of their reporting. Although the multiplicity of these outlets should ensure a variety of viewpoints, recent repor
Externí odkaz:
http://arxiv.org/abs/1904.07539
Publikováno v:
The Web Conference 2018 (WWW '18) pages 535-543
News entities must select and filter the coverage they broadcast through their respective channels since the set of world events is too large to be treated exhaustively. The subjective nature of this filtering induces biases due to, among other thing
Externí odkaz:
http://arxiv.org/abs/1904.07536
Graph Neural Networks (GNNs) are a powerful tool for machine learning on graphs.GNNs combine node feature information with the graph structure by recursively passing neural messages along edges of the input graph. However, incorporating both graph st
Externí odkaz:
http://arxiv.org/abs/1903.03894
In order to achieve the data rates proposed for the future Run 3 upgrade of the LHCb detector, new processing models must be developed to deal with the increased throughput. For this reason, we aim to investigate the feasibility of purely data-driven
Externí odkaz:
http://arxiv.org/abs/1808.00711
Autor:
Albrecht, Johannes1 christoph.hasse@cern.ch, Bourgeois, Dylan2, Coco, Victor3, Couturier, Ben3, Hasse, Christoph1,3 christoph.hasse@cern.ch, Nolte, Niklas1,3, Ponce, Sebastien3, Forti, A., Betev, L., Litmaath, M., Smirnova, O., Hristov, P.
Publikováno v:
EPJ Web of Conferences. 9/17/2019, Vol. 214, p1-8. 8p.
Autor:
Bourgeois, Dylan
Large codebases are routinely indexed by standard Information Retrieval systems, starting from the assumption that code written by humans shows similar statistical properties to written text [Hindle et al., 2012]. While those IR systems are still rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::93a513afb3549d95b52bb382ce1f48ae
https://infoscience.epfl.ch/record/277163
https://infoscience.epfl.ch/record/277163
Autor:
Albrecht, Johannes, Bourgeois, Dylan, Coco, Victor, Couturier, Ben, Hasse, Christoph, Nolte, Niklas, Ponce, Sebastien
Starting with Upgrade 1 in 2021, LHCb will move to a purely software-based trigger system. Therefore, the new trigger strategy is to process events at the full rate of 30MHz. Given that the increase of CPU performance has slowed down in recent years,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::1f67371929883fd5a11d1f5b2c8e1b61
https://infoscience.epfl.ch/record/280890
https://infoscience.epfl.ch/record/280890
Autor:
Ying R; Department of Computer Science, Stanford University., Bourgeois D; Department of Computer Science, Stanford University.; Robust.AI., You J; Department of Computer Science, Stanford University., Zitnik M; Department of Computer Science, Stanford University., Leskovec J; Department of Computer Science, Stanford University.
Publikováno v:
Advances in neural information processing systems [Adv Neural Inf Process Syst] 2019 Dec; Vol. 32, pp. 9240-9251.