Zobrazeno 1 - 10
of 163 057
pro vyhledávání: '"A Paquet"'
This volume explores and contextualizes the contributions of Gilles Paquet as a social scientist. A quintessential public intellectual, Gilles Paquet's long and multifaceted career has shown him to be a thinker of significant power and creativity. Th
Autor:
Faure, Samuel B. H.
Publikováno v:
Critique internationale, 2020 Oct 01(89), 143-164.
Externí odkaz:
https://www.jstor.org/stable/27000673
Autor:
Emmanuelle Delanoë-Brun
Publikováno v:
Transatlantica, Vol 2 (2023)
Externí odkaz:
https://doaj.org/article/301d1da4fc364bd09b205623e37a40ce
Autor:
Hervé Mayer
Publikováno v:
Miranda: Revue Pluridisciplinaire du Monde Anglophone, Vol 28 (2023)
Externí odkaz:
https://doaj.org/article/168c21a3aab44e0f9db02817ee5375b4
Publikováno v:
Optimum Online. Spring2019, Vol. 49 Issue 1, p2-18. 17p.
Autor:
Belanger, Gerard1, Caron, Daniel J.2, Fortin, Pierre3, Fremont, Jacques4,5, Galbreath, McE6, Giannesini, Juliette7, Langdon, Steven8, Lemyre, Louise9, Maule, Chris10, McMillan, Carl11, Peach, Ian12, Rich, Georg13, Paquet, Gilles14, Roy, Jeffrey15, Stanley, Guy16, Winer, Stanley17, Woolley, Frances18
Publikováno v:
Optimum Online. Jan2019, Vol. 49 Issue 1, p2-18. 17p. 1 Color Photograph.
Autor:
Bhambure, Jay, Mazeliauskas, Aleksas, Paquet, Jean-Francois, Singh, Rajeev, Singh, Mayank, Teaney, Derek, Zhou, Fabian
We conduct a numerical study of relativistic viscous fluid dynamics in the Density Frame for one-dimensional fluid flows. The Density Frame is a formulation of relativistic viscous hydrodynamics that is first-order in time, requires no auxiliary fiel
Externí odkaz:
http://arxiv.org/abs/2412.10303
Autor:
Lu, Ian, Jia, Hao, Gonzalez, Sebastian, Sogutlu, Deniz, Toledo-Marin, J. Quetzalcoatl, Hoque, Sehmimul, Abhishek, Abhishek, Gay, Colin, Melko, Roger, Paquet, Eric, Fox, Geoffrey, Swiatlowski, Maximilian, Fedorko, Wojciech
With the approach of the High Luminosity Large Hadron Collider (HL-LHC) era set to begin particle collisions by the end of this decade, it is evident that the computational demands of traditional collision simulation methods are becoming increasingly
Externí odkaz:
http://arxiv.org/abs/2412.04677
Multi-view data from the same source often exhibit correlation. This is mirrored in correlation between the latent spaces of separate variational autoencoders (VAEs) trained on each data-view. A multi-view VAE approach is proposed that incorporates a
Externí odkaz:
http://arxiv.org/abs/2411.03097