Zobrazeno 1 - 10
of 1 408 541
pro vyhledávání: '"Adam, A"'
Autor:
Cochran, Tyler A., Jobst, Bernhard, Rosenberg, Eliott, Lensky, Yuri D., Gyawali, Gaurav, Eassa, Norhan, Will, Melissa, Abanin, Dmitry, Acharya, Rajeev, Beni, Laleh Aghababaie, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Asfaw, Abraham, Atalaya, Juan, Babbush, Ryan, Ballard, Brian, Bardin, Joseph C., Bengtsson, Andreas, Bilmes, Alexander, Bourassa, Alexandre, Bovaird, Jenna, Broughton, Michael, Browne, David A., Buchea, Brett, Buckley, Bob B., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chen, Zijun, Chiaro, Ben, Claes, Jahan, Cleland, Agnetta Y., Cogan, Josh, Collins, Roberto, Conner, Paul, Courtney, William, Crook, Alexander L., Curtin, Ben, Das, Sayan, Demura, Sean, De Lorenzo, Laura, Di Paolo, Agustin, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Eickbusch, Alec, Elbag, Aviv Moshe, Elzouka, Mahmoud, Erickson, Catherine, Ferreira, Vinicius S., Burgos, Leslie Flores, Forati, Ebrahim, Fowler, Austin G., Foxen, Brooks, Ganjam, Suhas, Gasca, Robert, Genois, Élie, Giang, William, Gilboa, Dar, Gosula, Raja, Dau, Alejandro Grajales, Graumann, Dietrich, Greene, Alex, Gross, Jonathan A., Habegger, Steve, Hansen, Monica, Harrigan, Matthew P., Harrington, Sean D., Heu, Paula, Higgott, Oscar, Hilton, Jeremy, Huang, Hsin-Yuan, Huff, Ashley, Huggins, William J., Jeffrey, Evan, Jiang, Zhang, Jones, Cody, Joshi, Chaitali, Juhas, Pavol, Kafri, Dvir, Kang, Hui, Karamlou, Amir H., Kechedzhi, Kostyantyn, Khaire, Trupti, Khattar, Tanuj, Khezri, Mostafa, Kim, Seon, Klimov, Paul V., Kobrin, Bryce, Korotkov, Alexander N., Kostritsa, Fedor, Kreikebaum, John Mark, Kurilovich, Vladislav D., Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Lau, Kim-Ming, Ledford, Justin, Lee, Kenny, Lester, Brian J., Guevel, Loïck Le, Li, Wing Yan, Lill, Alexander T., Livingston, William P., Locharla, Aditya, Lundahl, Daniel, Lunt, Aaron, Madhuk, Sid, Maloney, Ashley, Mandrà, Salvatore, Martin, Leigh S., Martin, Orion, Maxfield, Cameron, McClean, Jarrod R., McEwen, Matt, Meeks, Seneca, Megrant, Anthony, Miao, Kevin C., Molavi, Reza, Molina, Sebastian, Montazeri, Shirin, Movassagh, Ramis, Neill, Charles, Newman, Michael, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, Niu, Murphy Yuezhen, Oliver, William D., Ottosson, Kristoffer, Pizzuto, Alex, Potter, Rebecca, Pritchard, Orion, Quintana, Chris, Ramachandran, Ganesh, Reagor, Matthew J., Rhodes, David M., Roberts, Gabrielle, Sankaragomathi, Kannan, Satzinger, Kevin J., Schurkus, Henry F., Shearn, Michael J., Shorter, Aaron, Shutty, Noah, Shvarts, Vladimir, Sivak, Volodymyr, Small, Spencer, Smith, W. Clarke, Springer, Sofia, Sterling, George, Suchard, Jordan, Szasz, Aaron, Sztein, Alex, Thor, Douglas, Torunbalci, M. Mert, Vaishnav, Abeer, Vargas, Justin, Vdovichev, Sergey, Vidal, Guifre, Heidweiller, Catherine Vollgraff, Waltman, Steven, Wang, Shannon X., Ware, Brayden, White, Theodore, Wong, Kristi, Woo, Bryan W. K., Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Grayson, Zalcman, Adam, Zhang, Yaxing, Zhu, Ningfeng, Zobris, Nicholas, Boixo, Sergio, Kelly, Julian, Lucero, Erik, Chen, Yu, Smelyanskiy, Vadim, Neven, Hartmut, Gammon-Smith, Adam, Pollmann, Frank, Knap, Michael, Roushan, Pedram
Lattice gauge theories (LGTs) can be employed to understand a wide range of phenomena, from elementary particle scattering in high-energy physics to effective descriptions of many-body interactions in materials. Studying dynamical properties of emerg
Externí odkaz:
http://arxiv.org/abs/2409.17142
Autor:
Mrózek, Mariusz, Filipkowski, Adam, Gawlik, Wojciech, Buczyński, Ryszard, Wojciechowski, Adam M., Klimczak, Mariusz
We employ an optical fiber doped with randomly oriented fluorescent sub-micron diamonds and the novel zero-field resonance protocol to collect information on the localization and orientation of a magnetic-field source and its distribution. Many previ
Externí odkaz:
http://arxiv.org/abs/2409.05452
Autor:
Ellison, C. Leland, Garcia, Vincent, Gomez, Matthew, Grim, Gary P., Hammer, Jim H., Jennings, Christopher A., Knapp, Patrick, LeChien, Keith R., Meezan, Nathan, Peterson, Robert, Reyes, Adam, Steiner, Adam, Stygar, William A., Tzeferacos, Petros, Welch, Dale, Zylstra, Alex
Fusion is a potentially transformational energy technology, which promises limitless clean energy. Yet, it requires continued scientific and technological development to realize its potential. The conditions necessary for fusion energy gain in terms
Externí odkaz:
http://arxiv.org/abs/2408.15206
Autor:
Brooks, Hunter, Caselden, Dan, Kirkpatrick, J. Davy, Raghu, Yadukrishna, Elachi, Charles, Grigorian, Jake, Trek, Asa, Washburn, Andrew, Higashimura, Hiro, Meisner, Aaron, Schneider, Adam, Faherty, Jacqueline, Marocco, Federico, Gelino, Christopher, Gagné, Jonathan, Bickle, Thomas, Tang, Shih-yun, Rothermich, Austin, Burgasser, Adam, Kuchner, Marc J., Beaulieu, Paul, Bell, John, Colin, Guillaume, Colombo, Giovanni, Dereveanco, Alexandru, Flores, Deiby, Glebov, Konstantin, Gramaize, Leopold, Hamlet, Les, Hinckley, Ken, Kabatnik, Martin, Kiwy, Frank, Martin, David, Palma, Raul, Pendrill, William, Ruiz, Lizzeth, Sanchez, John, Sainio, Arttu, SchÜmann, JÖrg, Schonau, Manfred, Tanner, Christopher, Andersen, Nikolaj Stevnbak, Stenner, Andrés, Thévenot, Melina, Thakur, Vinod, Voloshin, Nikita, Wedracki, Zbigniew
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine learning tool, named \texttt{SMDET}, applied to time series images from the Wide-field Infrared Survey Explorer. We gathered photometric and astrometric da
Externí odkaz:
http://arxiv.org/abs/2408.14447
Autor:
Lechowicz, Adam, Christianson, Nicolas, Sun, Bo, Bashir, Noman, Hajiesmaili, Mohammad, Wierman, Adam, Shenoy, Prashant
We study carbon-aware spatiotemporal workload management, which seeks to address the growing environmental impact of data centers. We formalize this as an online problem called spatiotemporal online allocation with deadline constraints ($\mathsf{SOAD
Externí odkaz:
http://arxiv.org/abs/2408.07831
Autor:
Price, Sedona H., Bezanson, Rachel, Labbe, Ivo, Furtak, Lukas J., de Graaff, Anna, Greene, Jenny E., Kokorev, Vasily, Setton, David J., Suess, Katherine A., Brammer, Gabriel, Cutler, Sam E., Leja, Joel, Pan, Richard, Wang, Bingjie, Weaver, John R., Whitaker, Katherine E., Atek, Hakim, Burgasser, Adam J., Chemerynska, Iryna, Dayal, Pratika, Feldmann, Robert, Schreiber, Natascha M. Förster, Fudamoto, Yoshinobu, Fujimoto, Seiji, Glazebrook, Karl, Goulding, Andy D., Khullar, Gourav, Kriek, Mariska, Marchesini, Danilo, Maseda, Michael V., Miller, Tim B., Muzzin, Adam, Nanayakkara, Themiya, Nelson, Erica, Oesch, Pascal A., Shipley, Heath, Smit, Renske, Taylor, Edward N., van Dokkum, Pieter, Williams, Christina C., Zitrin, Adi
We present the design and observations of low resolution JWST/NIRSpec PRISM spectroscopy from the Ultradeep NIRSpec and NIRCam ObserVations before the Epoch of Reionization (UNCOVER) Cycle 1 JWST Treasury program. Targets are selected using JWST/NIRC
Externí odkaz:
http://arxiv.org/abs/2408.03920
Autor:
Brown, Samuel B., Young, Stephen, Wagenknecht, Adam, Jakubisin, Daniel, Thornton, Charles E., Orndorff, Aaron, Headley, William C.
Denoising autoencoders for signal processing applications have been shown to experience significant difficulty in learning to reconstruct radio frequency communication signals, particularly in the large sample regime. In communication systems, this c
Externí odkaz:
http://arxiv.org/abs/2410.03423
Graph-structured data is integral to many applications, prompting the development of various graph representation methods. Graph autoencoders (GAEs), in particular, reconstruct graph structures from node embeddings. Current GAE models primarily utili
Externí odkaz:
http://arxiv.org/abs/2410.03396
Autor:
Lehmann, Nils, Gawlikowski, Jakob, Stewart, Adam J., Jancauskas, Vytautas, Depeweg, Stefan, Nalisnick, Eric, Gottschling, Nina Maria
Uncertainty quantification (UQ) is an essential tool for applying deep neural networks (DNNs) to real world tasks, as it attaches a degree of confidence to DNN outputs. However, despite its benefits, UQ is often left out of the standard DNN workflow
Externí odkaz:
http://arxiv.org/abs/2410.03390
Autor:
Nohejl, Adam, Hudi, Frederikus, Kardinata, Eunike Andriani, Ozaki, Shintaro, Machin, Maria Angelica Riera, Sun, Hongyu, Vasselli, Justin, Watanabe, Taro
Word frequency is a key variable in psycholinguistics, useful for modeling human familiarity with words even in the era of large language models (LLMs). Frequency in film subtitles has proved to be a particularly good approximation of everyday langua
Externí odkaz:
http://arxiv.org/abs/2410.03240