Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kanakaris, Nikos"'
Autor:
Bernárdez, Guillermo, Telyatnikov, Lev, Montagna, Marco, Baccini, Federica, Papillon, Mathilde, Ferriol-Galmés, Miquel, Hajij, Mustafa, Papamarkou, Theodore, Bucarelli, Maria Sofia, Zaghen, Olga, Mathe, Johan, Myers, Audun, Mahan, Scott, Lillemark, Hansen, Vadgama, Sharvaree, Bekkers, Erik, Doster, Tim, Emerson, Tegan, Kvinge, Henry, Agate, Katrina, Ahmed, Nesreen K, Bai, Pengfei, Banf, Michael, Battiloro, Claudio, Beketov, Maxim, Bogdan, Paul, Carrasco, Martin, Cavallo, Andrea, Choi, Yun Young, Dasoulas, George, Elphick, Matouš, Escalona, Giordan, Filipiak, Dominik, Fritze, Halley, Gebhart, Thomas, Gil-Sorribes, Manel, Goomanee, Salvish, Guallar, Victor, Imasheva, Liliya, Irimia, Andrei, Jin, Hongwei, Johnson, Graham, Kanakaris, Nikos, Koloski, Boshko, Kovač, Veljko, Lecha, Manuel, Lee, Minho, Leroy, Pierrick, Long, Theodore, Magai, German, Martinez, Alvaro, Masden, Marissa, Mežnar, Sebastian, Miquel-Oliver, Bertran, Molina, Alexis, Nikitin, Alexander, Nurisso, Marco, Piekenbrock, Matt, Qin, Yu, Rygiel, Patryk, Salatiello, Alessandro, Schattauer, Max, Snopov, Pavel, Suk, Julian, Sánchez, Valentina, Tec, Mauricio, Vaccarino, Francesco, Verhellen, Jonas, Wantiez, Frederic, Weers, Alexander, Zajec, Patrik, Škrlj, Blaž, Miolane, Nina
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM). The challenge focused on the problem
Externí odkaz:
http://arxiv.org/abs/2409.05211
Autor:
Duan, Shukai, Ping, Heng, Kanakaris, Nikos, Xiao, Xiongye, Zhang, Peiyu, Kyriakis, Panagiotis, Ahmed, Nesreen K., Ma, Guixiang, Capota, Mihai, Nazarian, Shahin, Willke, Theodore L., Bogdan, Paul
Existing approaches for device placement ignore the topological features of computation graphs and rely mostly on heuristic methods for graph partitioning. At the same time, they either follow a grouper-placer or an encoder-placer architecture, which
Externí odkaz:
http://arxiv.org/abs/2405.14185
Autor:
Duan, Shukai, Kanakaris, Nikos, Xiao, Xiongye, Ping, Heng, Zhou, Chenyu, Ahmed, Nesreen K., Ma, Guixiang, Capota, Mihai, Willke, Theodore L., Nazarian, Shahin, Bogdan, Paul
Code optimization is a daunting task that requires a significant level of expertise from experienced programmers. This level of expertise is not sufficient when compared to the rapid development of new hardware architectures. Towards advancing the wh
Externí odkaz:
http://arxiv.org/abs/2312.05657
Publikováno v:
In Expert Systems With Applications 1 January 2025 259
Autor:
Kanakaris, Nikos, Karacapilidis, Nikos
Publikováno v:
In Procedia Computer Science 2023 219:705-712
Publikováno v:
In International Journal of Information Management Data Insights November 2022 2(2)
Publikováno v:
In Machine Learning with Applications 15 March 2022 7
Publikováno v:
Artificial Intelligence Applications and Innovations
This paper introduces a novel graph-based approach to select features from multiple textual documents. The proposed solution enables the investigation of the importance of a term into a whole corpus of documents by utilizing contemporary graph theory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::e4486e36b38fd7a21953b29c7528046a
http://europepmc.org/articles/PMC7256382
http://europepmc.org/articles/PMC7256382
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Akademický článek
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