Zobrazeno 1 - 10
of 61 554
pro vyhledávání: '"LAZAR, A."'
Autor:
Mehta, Vihang, Rafelski, Marc, Sunnquist, Ben, Teplitz, Harry I., Scarlata, Claudia, Wang, Xin, Fontana, Adriano, Hathi, Nimish P., Iyer, Kartheik G., Alavi, Anahita, Colbert, James, Grogin, Norman, Koekemoer, Anton, Nedkova, Kalina V., Hayes, Matthew, Prichard, Laura, Siana, Brian, Smith, Brent M., Windhorst, Rogier, Ashcraft, Teresa, Bagley, Micaela, Baronchelli, Ivano, Barro, Guillermo, Blanche, Alex, Broussard, Adam, Carleton, Timothy, Chartab, Nima, Codoreanu, Alex, Cohen, Seth, Conselice, Christopher, Dai, Y. Sophia, Darvish, Behnam, Dave, Romeel, DeGroot, Laura, De Mello, Duilia, Dickinson, Mark, Emami, Najmeh, Ferguson, Henry, Ferreira, Leonardo, Finkelstein, Keely, Finkelstein, Steven, Gardner, Jonathan P., Gawiser, Eric, Gburek, Timothy, Giavalisco, Mauro, Grazian, Andrea, Gronwall, Caryl, Guo, Yicheng, Haro, Pablo Arrabal, Hemmati, Shoubaneh, Howell, Justin, Jansen, Rolf A., Ji, Zhiyuan, Kaviraj, Sugata, Kim, Keunho J., Kurczynski, Peter, Lazar, Ilin, Lucas, Ray A., MacKenty, John, Mantha, Kameswara Bharadwaj, Martin, Alec, Martin, Garreth, McCabe, Tyler, Mobasher, Bahram, Morales, Alexa M., O'Connell, Robert, Olsen, Charlotte, Otteson, Lillian, Ravindranath, Swara, Redshaw, Caleb, Rutkowski, Michael, Robertson, Brant, Sattari, Zahra, Soto, Emmaris, Sun, Lei, Taamoli, Sina, Vanzella, Eros, Yung, L. Y. Aaron, Zabelle, Bonnabelle
The UltraViolet imaging of the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey Fields (UVCANDELS) program provides deep HST F275W and F435W imaging over four CANDELS fields (GOODS-N, GOODS-S, COSMOS, and EGS). We combine this newly acq
Externí odkaz:
http://arxiv.org/abs/2410.16404
Autor:
Lazar, Seth
A century ago, John Dewey observed that '[s]team and electricity have done more to alter the conditions under which men associate together than all the agencies which affected human relationships before our time'. In the last few decades, computing t
Externí odkaz:
http://arxiv.org/abs/2410.20720
Autor:
Lazar, Seth
Algorithmic intermediaries govern the digital public sphere through their architectures, amplification algorithms, and moderation practices. In doing so, they shape public communication and distribute attention in ways that were previously infeasible
Externí odkaz:
http://arxiv.org/abs/2410.20718
Massive black hole (MBH) binaries in galactic nuclei are one of the leading sources of $\sim$ mHz gravitational waves (GWs) for future missions such as $\rm{\textit{LISA}}$. However, the poor sky localization of GW interferometers will make it challe
Externí odkaz:
http://arxiv.org/abs/2410.12911
Autor:
Đoković, Lazar, Robnik-Šikonja, Marko
Publikováno v:
Proceedings of the 27th International Multiconference INFORMATION SOCIETY - IS 2024, Volume A, 2024, pages 19-22
The sarcasm detection task in natural language processing tries to classify whether an utterance is sarcastic or not. It is related to sentiment analysis since it often inverts surface sentiment. Because sarcastic sentences are highly dependent on co
Externí odkaz:
http://arxiv.org/abs/2410.12704
Our information and communication environment has fallen short of the ideals that networked global communication might have served. Identifying all the causes of its pathologies is difficult, but existing recommender systems very likely play a contri
Externí odkaz:
http://arxiv.org/abs/2410.12123
Autor:
Lazar, Seth, Manuali, Lorenzo
LLMs are among the most advanced tools ever devised for analysing and generating linguistic content. Democratic deliberation and decision-making involve, at several distinct stages, the production and analysis of language. So it is natural to ask whe
Externí odkaz:
http://arxiv.org/abs/2410.08418
Autor:
Lazar, Alexander, Linusson, Svante
Set-valued standard Young tableaux are a generalization of standard Young tableaux due to Buch (2002) with applications in algebraic geometry. The enumeration of set-valued SYT is significantly more complicated than in the ordinary case, although pro
Externí odkaz:
http://arxiv.org/abs/2410.04860
Many fMRI analyses examine functional connectivity, or statistical dependencies among remote brain regions. Yet popular methods for studying whole-brain functional connectivity often yield results that are difficult to interpret. Factor analysis offe
Externí odkaz:
http://arxiv.org/abs/2409.13963
This paper considers learning online (implicit) nonlinear model predictive control (MPC) laws using neural networks and Laguerre functions. Firstly, we parameterize the control sequence of nonlinear MPC using Laguerre functions, which typically yield
Externí odkaz:
http://arxiv.org/abs/2409.09436