Zobrazeno 1 - 10
of 4 824
pro vyhledávání: '"P Hass"'
Autor:
Goldfriend, Tomer, Reichental, Israel, Naveh, Amir, Gazit, Lior, Yoran, Nadav, Alon, Ravid, Ur, Shmuel, Lahav, Shahak, Cornfeld, Eyal, Elazari, Avi, Emanuel, Peleg, Harpaz, Dor, Michaeli, Tal, Erez, Nati, Preminger, Lior, Shapira, Roman, Garcell, Erik Michael, Samimi, Or, Kisch, Sara, Hallel, Gil, Kishony, Gilad, van Wingerden, Vincent, Rosenbloom, Nathaniel A., Opher, Ori, Vax, Matan, Smoler, Ariel, Danzig, Tamuz, Schirman, Eden, Sella, Guy, Cohen, Ron, Garfunkel, Roi, Cohn, Tali, Rosemarin, Hanan, Hass, Ron, Jankiewicz, Klem, Gharra, Karam, Roth, Ori, Azar, Barak, Asban, Shahaf, Linkov, Natalia, Segman, Dror, Sahar, Ohad, Davidson, Niv, Minerbi, Nir, Naveh, Yehuda
We present a scalable, robust approach to creating quantum programs of arbitrary size and complexity. The approach is based on the true abstraction of the problem. The quantum program is expressed in terms of a high-level model together with constrai
Externí odkaz:
http://arxiv.org/abs/2412.07372
Autor:
Katsaros, Konstantinos, Mavromatis, Ioannis, Antonakoglou, Kostantinos, Ghosh, Saptarshi, Kaleshi, Dritan, Mahmoodi, Toktam, Asgari, Hamid, Karousos, Anastasios, Tavakkolnia, Iman, Safi, Hossein, Hass, Harald, Vrontos, Constantinos, Emami, Amin, Ullauri, Juan Parra, Moazzeni, Shadi, Simeonidou, Dimitra
The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting the directi
Externí odkaz:
http://arxiv.org/abs/2411.06870
Publikováno v:
In 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection (GeoAnomalies'24), October 29, 2024, Atlanta, GA, USA
Spatiotemporal data consisting of timestamps, GPS coordinates, and IDs occurs in many settings. Modeling approaches for this type of data must address challenges in terms of sensor noise, uneven sampling rates, and non-persistent IDs. In this work, w
Externí odkaz:
http://arxiv.org/abs/2410.07161
Autor:
Tang, Minxue, Wang, Yitu, Zhang, Jingyang, DiValentin, Louis, Ding, Aolin, Hass, Amin, Chen, Yiran, Li, Hai "Helen"
Federated Learning (FL) provides a strong privacy guarantee by enabling local training across edge devices without training data sharing, and Federated Adversarial Training (FAT) further enhances the robustness against adversarial examples, promoting
Externí odkaz:
http://arxiv.org/abs/2409.08372
We consider many-particle diffusion in one spatial dimension modeled as Random Walks in a Random Environment (RWRE). A shared short-range space-time random environment determines the jump distributions that drive the motion of the particles. We deter
Externí odkaz:
http://arxiv.org/abs/2406.17733
The first passage time for a single diffusing particle has been studied extensively, but the first passage time of a system of many diffusing particles, as is often the case in physical systems, has received little attention until recently. We consid
Externí odkaz:
http://arxiv.org/abs/2308.01267
Autor:
Adam, Robert, Antel, Claire, Bashir, Munirat, Benchekroun, Driss, Bertou, Xavier, Böttcher, Markus, Buffler, Andy, Chen, Andrew, Essig, Rouven, Gascon, Jules, Gouighri, Mohamed, Hass, Trevor, Hillhouse, Gregory, Hoummada, Abdeslam, John, Anslyn, Jones, Pete, Khoulaki, Youssef, Lavina, Luca, Leeuw, Lerothodi, Lekala, Mantile, Lindsay, Robert, Maartens, Roy, Ma, Yin-Zhe, Malek, Fairouz, Maleka, Peane, Marteau, Jacques, Mazini, Rachid, Medupe, Thebe, Garcia, Bruce Mellado, Messina, Marcello, Msebi, Lumkile, Mwewa, Chilufya, Ndabeni, Zina, Newman, Richard, O'neill, George, Piquemal, Fabrice, Roos, Lydia, Santos, Daniel, Scorza, Silvia, Simkovic, Fedor, Stekl, Ivan, Tayalati, Yahya, Triambak, Smarajit, Vilakazi, Zeblon, Wyngaardt, Shaun, van Zyl, JJ
Establishing a deep underground physics laboratory to study, amongst others, double beta decay, geoneutrinos, reactor neutrinos and dark matter has been discussed for more than a decade within the austral African physicists' community. PAUL, the Paar
Externí odkaz:
http://arxiv.org/abs/2306.12083
Autor:
Seuret, Mathias, van der Loop, Janne, Weichselbaumer, Nikolaus, Mayr, Martin, Molnar, Janina, Hass, Tatjana, Kordon, Florian, Nicolau, Anguelos, Christlein, Vincent
Publikováno v:
Document Analysis and Recognition - ICDAR 2023. ICDAR 2023. Lecture Notes in Computer Science, vol 14191. Springer, Cham
In this paper, we investigate the usage of fine-grained font recognition on OCR for books printed from the 15th to the 18th century. We used a newly created dataset for OCR of early printed books for which fonts are labeled with bounding boxes. We kn
Externí odkaz:
http://arxiv.org/abs/2305.07131
Publikováno v:
Roberto M. Insabella, Mart\'in G. Gonz\'alez, Lucas M. Riob\'o, Klaus Hass, and Francisco E. Veiras, "Software-defined optoacoustic tomography," Appl. Opt. 59, 706-711 (2020)
In this work we present the first application of software-defined optoelectronics (SDO) for bidimensional optoacoustic tomography (OAT). The SDO concept refers to optoelectronic systems where the functionality associated with the conditioning and pro
Externí odkaz:
http://arxiv.org/abs/2305.05537
Autor:
Champagnat, Nicolas, Hass, Vincent
In this article, a stochastic individual-based model describing Darwinian evolution of asexual, phenotypic trait-structured population, is studied. We consider a large population with constant population size characterised by a resampling rate modeli
Externí odkaz:
http://arxiv.org/abs/2303.09936