Zobrazeno 1 - 10
of 236 387
pro vyhledávání: '"A, Yung"'
Autor:
Liu, Shu-Yung, Yueh, Mei-Heng
Surface parameterization is a fundamental concept in fields such as differential geometry and computer graphics. It involves mapping a surface in three-dimensional space onto a two-dimensional parameter space. This process allows for the systematic r
Externí odkaz:
http://arxiv.org/abs/2412.09909
Finding optimal solutions to combinatorial optimization problems is pivotal in both scientific and technological domains, within academic research and industrial applications. A considerable amount of effort has been invested in the development of ac
Externí odkaz:
http://arxiv.org/abs/2412.09285
Deep learning has achieved remarkable success in processing and managing unstructured data. However, its "black box" nature imposes significant limitations, particularly in sensitive application domains. While existing interpretable machine learning
Externí odkaz:
http://arxiv.org/abs/2412.01365
Autor:
Llerena, M., Pentericci, L., Napolitano, L., Mascia, S., Amorín, R., Calabrò, A., Castellano, M., Cleri, N. J., Giavalisco, M., Grogin, N. A., Hathi, N. P., Hirschmann, M., Koekemoer, A. M., Nanayakkara, T., Pacucci, F., Shen, L., Wilkins, S. M., Yoon, I., Yung, L. Y. A., Bhatawdekar, R., Lucas, R. A., Wang, X., Haro, P. Arrabal, Bagley, M. B., Finkelstein, S. L., Kartaltepe, J. S., Merlin, E., Papovich, C., Pirzkal, N.
Investigating the ionizing emission of star-forming galaxies is critical to understanding their contribution to reionization and their impact on the surrounding environment. The number of ionizing photons available to reionize the intergalactic mediu
Externí odkaz:
http://arxiv.org/abs/2412.01358
In this paper, we develop monolithic limiting techniques for enforcing nonlinear stability constraints in enriched Galerkin (EG) discretizations of nonlinear scalar hyperbolic equations. To achieve local mass conservation and gain control over the ce
Externí odkaz:
http://arxiv.org/abs/2411.19160
Autor:
Kouch, Pouya M., Liodakis, Ioannis, Fenu, Francesco, Zhang, Haocheng, Boula, Stella, Middei, Riccardo, Di Gesu, Laura, Paraschos, Georgios F., Agudo, Iván, Jorstad, Svetlana G., Lindfors, Elina, Marscher, Alan P., Krawczynski, Henric, Negro, Michela, Hu, Kun, Kim, Dawoon E., Cavazzuti, Elisabetta, Errando, Manel, Blinov, Dmitry, Gourni, Anastasia, Kiehlmann, Sebastian, Kourtidis, Angelos, Mandarakas, Nikos, Triantafyllou, Nikolaos, Vervelaki, Anna, Borman, George A., Kopatskaya, Evgenia N., Larionova, Elena G., Morozova, Daria A., Savchenko, Sergey S., Vasilyev, Andrey A., Troitskiy, Ivan S., Grishina, Tatiana S., Zhovtan, Alexey V., Aceituno, Francisco José, Bonnoli, Giacomo, Casanova, Víctor, Escudero, Juan, Agís-González, Beatriz, Husillos, César, Otero-Santos, Jorge, Piirola, Vilppu, Sota, Alfredo, Myserlis, Ioannis, Gurwell, Mark, Keating, Garrett K., Rao, Ramprasad, Angelakis, Emmanouil, Kraus, Alexander, Antonelli, Lucio Angelo, Bachetti, Matteo, Baldini, Luca, Baumgartner, Wayne H., Bellazzini, Ronaldo, Bianchi, Stefano, Bongiorno, Stephen D., Bonino, Raffaella, Brez, Alessandro, Bucciantini, Niccolò, Capitanio, Fiamma, Castellano, Simone, Chen, Chien-Ting, Ciprini, Stefano, Costa, Enrico, De Rosa, Alessandra, Del Monte, Ettore, Di Lalla, Niccolò, Di Marco, Alessandro, Donnarumma, Immacolata, Doroshenko, Victor, Dovčiak, Michal, Ehlert, Steven R., Enoto, Teruaki, Evangelista, Yuri, Fabiani, Sergio, Ferrazzoli, Riccardo, Garcia, Javier A., Gunji, Shuichi, Hayashida, Kiyoshi, Heyl, Jeremy, Iwakiri, Wataru, Kaaret, Philip, Karas, Vladimir, Kislat, Fabian, Kitaguchi, Takao, Kolodziejczak, Jeffery J., La Monaca, Fabio, Latronico, Luca, Maldera, Simone, Manfreda, Alberto, Marin, Frédéric, Marinucci, Andrea, Marshall, Herman L., Massaro, Francesco, Matt, Giorgio, Mitsuishi, Ikuyuki, Mizuno, Tsunefumi, Muleri, Fabio, Ng, Chi-Yung, O'Dell, Stephen L., Omodei, Nicola, Oppedisano, Chiara, Papitto, Alessandro, Pavlov, George G., Peirson, Abel Lawrence, Perri, Matteo, Pesce-Rollins, Melissa, Petrucci, Pierre-Olivier, Pilia, Maura, Possenti, Andrea, Poutanen, Juri, Puccetti, Simonetta, Ramsey, Brian D., Rankin, John, Ratheesh, Ajay, Roberts, Oliver J., Sgrò, Carmelo, Slane, Patrick, Soffitta, Paolo, Spandre, Gloria, Swartz, Douglas A., Tamagawa, Toru, Tavecchio, Fabrizio, Taverna, Roberto, Tawara, Yuzuru, Tennant, Allyn F., Thomas, Nicholas E., Tombesi, Francesco, Trois, Alessio, Tsygankov, Sergey S., Turolla, Roberto, Romani, Roger W., Vink, Jacco, Weisskopf, Martin C., Wu, Kinwah, Xie, Fei, Zane, Silvia
The X-ray polarization observations made possible with the Imaging X-ray Polarimetry Explorer (IXPE) offer new ways of probing high-energy emission processes in astrophysical jets from blazars. Here we report on the first X-ray polarization observati
Externí odkaz:
http://arxiv.org/abs/2411.16868
This paper presents an enhanced optical configuration for a single-pass quantitative Schlieren imaging system that achieves an optical resolution of approximately 4.6 micrometers. The modified setup decouples sensitivity from resolution, enabling ind
Externí odkaz:
http://arxiv.org/abs/2411.14069
Autor:
Leung, Gene C. K., Finkelstein, Steven L., Pérez-González, Pablo G., Morales, Alexa M., Taylor, Anthony J., Barro, Guillermo, Kocevski, Dale D., Akins, Hollis B., Carnall, Adam C., Ortiz, Óscar A. Chávez, Cleri, Nikko J., Cullen, Fergus, Donnan, Callum T., Dunlop, James S., Ellis, Richard S., Grogin, Norman A., Hirschmann, Michaela, Koekemoer, Anton M., Kokorev, Vasily, Lucas, Ray A., McLeod, Derek J., Papovich, Casey, Yung, L. Y. Aaron
JWST has revealed a large population of compact, red galaxies at $z>4$ known as Little Red Dots (LRDs). We analyze the spectral energy distributions (SEDs) of 95 LRDs from the JWST PRIMER survey with complete photometric coverage from $1-18\ \mu$m us
Externí odkaz:
http://arxiv.org/abs/2411.12005
SRAM-based Analog Compute-in-Memory (ACiM) demonstrates promising energy efficiency for deep neural network (DNN) processing. Although recent aggressive design strategies have led to successive improvements on efficiency, there is limited discussion
Externí odkaz:
http://arxiv.org/abs/2411.11022
Autor:
Zhou, Zikang, Zhou, Hengjian, Hu, Haibo, Wen, Zihao, Wang, Jianping, Li, Yung-Hui, Huang, Yu-Kai
Anticipating the multimodality of future events lays the foundation for safe autonomous driving. However, multimodal motion prediction for traffic agents has been clouded by the lack of multimodal ground truth. Existing works predominantly adopt the
Externí odkaz:
http://arxiv.org/abs/2411.11911