Zobrazeno 1 - 9
of 9
pro vyhledávání: '"DRESCHER, LUKAS"'
Autor:
Farrell, Steven, Emani, Murali, Balma, Jacob, Drescher, Lukas, Drozd, Aleksandr, Fink, Andreas, Fox, Geoffrey, Kanter, David, Kurth, Thorsten, Mattson, Peter, Mu, Dawei, Ruhela, Amit, Sato, Kento, Shirahata, Koichi, Tabaru, Tsuguchika, Tsaris, Aristeidis, Balewski, Jan, Cumming, Ben, Danjo, Takumi, Domke, Jens, Fukai, Takaaki, Fukumoto, Naoto, Fukushi, Tatsuya, Gerofi, Balazs, Honda, Takumi, Imamura, Toshiyuki, Kasagi, Akihiko, Kawakami, Kentaro, Kudo, Shuhei, Kuroda, Akiyoshi, Martinasso, Maxime, Matsuoka, Satoshi, Mendonça, Henrique, Minami, Kazuki, Ram, Prabhat, Sawada, Takashi, Shankar, Mallikarjun, John, Tom St., Tabuchi, Akihiro, Vishwanath, Venkatram, Wahib, Mohamed, Yamazaki, Masafumi, Yin, Junqi
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of h
Externí odkaz:
http://arxiv.org/abs/2110.11466
Akademický článek
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Autor:
Drescher, Lukas, Fawzi, Omar
Publikováno v:
Proceedings of ISIT 2013, pages 161 - 165
In the context of network information theory, one often needs a multiparty probability distribution to be typical in several ways simultaneously. When considering quantum states instead of classical ones, it is in general difficult to prove the exist
Externí odkaz:
http://arxiv.org/abs/1312.7642
Autor:
Arlandini, Claudio, Antonopoulos, Gregory, Baretta, Alessia, Beaujean, Pierre, Bex, Geert Jan, Biancolini, Marco Evangelos, Celi, Simona, Costa, Emiliano, Drescher, Lukas, Eleftheriadis, Vasileios, Fadel, Nur A, Fink, Andreas, Galbiati, Federica, Hatzakis, Ilias, Hompis, Georgios, Koch, Miriam, Lewandowski, Natalie, Memmolo, Antonio, Mensch, Carl, Obrist, Dominik, Paneta, Valentina, Papadimitroulas, Panagiotis, Petropoulos, Konstantinos, Porziani, Stefano, Savvidis, Georgios, Sethia, Khyati, Strakos, Petr, Svobodova, Petra, Vignali, Emanuele
Publikováno v:
Technology and Health Care. :1-15
BACKGROUND: To say data is revolutionising the medical sector would be a vast understatement. The amount of medical data available today is unprecedented and has the potential to enable to date unseen forms of healthcare. To process this huge amount
Publikováno v:
SIAM Journal on Numerical Analysis, 2017 Jan 01. 55(6), 2592-2615.
Externí odkaz:
https://www.jstor.org/stable/45048345
Akademický článek
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Autor:
Krauss, Sandro, Temmer, Manuela, Drescher, Lukas, Süsser-Rechberger, Barbara, Kroisz, Sofia, Strasser, Andreas, Mayer-Guerr, Torsten
Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
With the strong rise of the current solar cycle 25 also the number of solar eruptions, like solar flares and coronal mass ejections (CMEs), increases. These solar events have the capability to trigger geomagnetic storms, which may disrupt and damage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5c281f1d73159d9be93644817d34590
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016778
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016778
Autor:
Koch, Miriam, Arlandini, Claudio, Antonopoulos, Gregory, Baretta, Alessia, Beaujean, Pierre, Bex, Geert Jan, Biancolini, Marco Evangelos, Celi, Simona, Costa, Emiliano, Drescher, Lukas, Eleftheriadis, Vasileios, Fadel, Nur A., Fink, Andreas, Galbiati, Federica, Hatzakis, Ilias, Hompis, Georgios, Lewandowski, Natalie, Memmolo, Antonio, Mensch, Carl, Obrist, Dominik
Publikováno v:
Technology & Health Care; 2023, Vol. 31 Issue 4, p1509-1523, 15p
Publikováno v:
[Research Report] RR-8948, INRIA Sophia Antipolis-Méditerranée; CASTOR. 2016
We introduce a novel method to compute approximations of contour integrals.The new method is based on the coarea formula in combination with a Galerkin projection.As such it fits seamlessly into the spirit of hp/spectral finite element methods and ci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::12e25e17503b8d12363f8a382cd8a5bc
https://hal.inria.fr/hal-01354031/file/RR-8948.pdf
https://hal.inria.fr/hal-01354031/file/RR-8948.pdf