Zobrazeno 1 - 10
of 9 070
pro vyhledávání: '"Pantelis P"'
Autor:
Murat Keçiş
Publikováno v:
Gephyra, Vol 27, Pp 217-219 (2024)
This volume presents the first results of the TAKTIKON research project on the prosopography and administration of the Byzantine themata (the large administrative divisions of the Byzantine State), which is being realized at the Academy of Athens by
Externí odkaz:
https://doaj.org/article/53377bfff2124e97b90536cd2db480f1
Akademický článek
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Akademický článek
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This paper investigates the adversarial robustness of Deep Neural Networks (DNNs) using Information Bottleneck (IB) objectives for task-oriented communication systems. We empirically demonstrate that while IB-based approaches provide baseline resilie
Externí odkaz:
http://arxiv.org/abs/2412.10265
Publikováno v:
2024 20th Int. Conf. on Distributed Computing in Smart Systems and the IoT (DCOSS-IoT), Abu Dhabi, UAE, 2024, pp. 384-391
In the evolving domain of Human Activity Recognition (HAR) using Internet of Things (IoT) devices, there is an emerging interest in employing Deep Generative Models (DGMs) to address data scarcity, enhance data quality, and improve classification met
Externí odkaz:
http://arxiv.org/abs/2412.06389
Autor:
Čilić, Ivan, Lackinger, Anna, Frangoudis, Pantelis, Žarko, Ivana Podnar, Furutanpey, Alireza, Murturi, Ilir, Dustdar, Schahram
Deploying a Hierarchical Federated Learning (HFL) pipeline across the computing continuum (CC) requires careful organization of participants into a hierarchical structure with intermediate aggregation nodes between FL clients and the global FL server
Externí odkaz:
http://arxiv.org/abs/2412.03385
Autor:
FASER Collaboration, Abraham, Roshan Mammen, Ai, Xiaocong, Anders, John, Antel, Claire, Ariga, Akitaka, Ariga, Tomoko, Atkinson, Jeremy, Bernlochner, Florian U., Boeckh, Tobias, Boyd, Jamie, Brenner, Lydia, Burger, Angela, Cadoux, Franck, Cardella, Roberto, Casper, David W., Cavanagh, Charlotte, Chen, Xin, Chouhan, Dhruv, Coccaro, Andrea, Débieux, Stephane, D'Onofrio, Monica, Desai, Ansh, Dmitrievsky, Sergey, Dobre, Radu, Eley, Sinead, Favre, Yannick, Fellers, Deion, Feng, Jonathan L., Fenoglio, Carlo Alberto, Ferrere, Didier, Fieg, Max, Filali, Wissal, Firu, Elena, Garabaglu, Ali, Gibson, Stephen, Gonzalez-Sevilla, Sergio, Gornushkin, Yuri, Gwilliam, Carl, Hayakawa, Daiki, Holzbock, Michael, Hsu, Shih-Chieh, Hu, Zhen, Iacobucci, Giuseppe, Inada, Tomohiro, Iodice, Luca, Jakobsen, Sune, Joos, Hans, Kajomovitz, Enrique, Kawahara, Hiroaki, Keyken, Alex, Kling, Felix, Köck, Daniela, Kontaxakis, Pantelis, Kose, Umut, Kotitsa, Rafaella, Kuehn, Susanne, Kugathasan, Thanushan, Levinson, Lorne, Li, Ke, Liu, Jinfeng, Liu, Yi, Lutz, Margaret S., MacDonald, Jack, Magliocca, Chiara, Mäkelä, Toni, McCoy, Lawson, McFayden, Josh, Medina, Andrea Pizarro, Milanesio, Matteo, Moretti, Théo, Nakamura, Mitsuhiro, Nakano, Toshiyuki, Nevay, Laurie, Ohashi, Ken, Otono, Hidetoshi, Pang, Hao, Paolozzi, Lorenzo, Pawan, Pawan, Petersen, Brian, Preda, Titi, Prim, Markus, Queitsch-Maitland, Michaela, Rokujo, Hiroki, Rubbia, André, Sabater-Iglesias, Jorge, Sato, Osamu, Scampoli, Paola, Schmieden, Kristof, Schott, Matthias, Sfyrla, Anna, Sgalaberna, Davide, Shamim, Mansoora, Shively, Savannah, Takubo, Yosuke, Tarannum, Noshin, Theiner, Ondrej, Torrence, Eric, Martinez, Oscar Ivan Valdes, Vasina, Svetlana, Vormwald, Benedikt, Wang, Di, Wang, Yuxiao, Welch, Eli, Wielers, Monika, Xu, Yue, Zahorec, Samuel, Zambito, Stefano, Zhang, Shunliang
This letter presents the measurement of the energy-dependent neutrino-nucleon cross section in tungsten and the differential flux of muon neutrinos and anti-neutrinos. The analysis is performed using proton-proton collision data at a center-of-mass e
Externí odkaz:
http://arxiv.org/abs/2412.03186
We address an optimal control problem for linear stochastic systems with unknown noise distributions and joint chance constraints using conformal prediction. Our approach involves designing a feedback controller to maintain an error system within a p
Externí odkaz:
http://arxiv.org/abs/2411.19132
Autor:
Klaassen, Dennis J., Eek, Lumen A. G., Rudenko, Alexander N., Westende, Esra D. van`t, Castenmiller, Carolien, Zhang, Zhiguo, de Boeij, Paul, van Houselt, Arie, Ezawa, Motohiko, Zandvliet, Harold J. W., Smith, Cristiane Morais, Bampoulis, Pantelis
Realizing a one-dimensional (1D) topological insulator and identifying the lower dimensional limit of two-dimensional (2D) behavior are crucial steps toward developing high-density quantum state networks, advancing topological quantum computing, and
Externí odkaz:
http://arxiv.org/abs/2411.18156
Our proposed framework attempts to break the trade-off between performance and explainability by introducing an explainable-by-design convolutional neural network (CNN) based on the lateral inhibition mechanism. The ExplaiNet model consists of the pr
Externí odkaz:
http://arxiv.org/abs/2411.00139