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pro vyhledávání: '"Buckingham A"'
Bayesian optimization is a sample-efficient method for solving expensive, black-box optimization problems. Stochastic programming concerns optimization under uncertainty where, typically, average performance is the quantity of interest. In the first
Externí odkaz:
http://arxiv.org/abs/2408.17387
Novel test selectors have demonstrated their effectiveness in accelerating the closure of functional coverage for various industrial digital designs in simulation-based verification. The primary advantages of these test selectors include performance
Externí odkaz:
http://arxiv.org/abs/2407.02510
Autor:
Safai, Apoorva, Jonaitis, Erin, Langhough, Rebecca E, Buckingham, William R, Johnson, Sterling C., Powell, W. Ryan, Kind, Amy J. H., Bendlin, Barbara B., Tiwari, Pallavi
Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patterns underlying complex cognitive functions. We hypothesized that MSNs
Externí odkaz:
http://arxiv.org/abs/2406.13822
While the excitement around the capabilities of technological advancements is giving rise to new AI-based writing assistants, the overarching ecosystem plays a crucial role in how they are adopted in educational practice. In this paper, we point to k
Externí odkaz:
http://arxiv.org/abs/2404.10281
Autor:
Schmidt, Kurt, Buckingham, Robert
The generalized Hastings-McLeod solutions to the inhomogeneous Painlev\'{e}-II equation arise in multi-critical unitary random matrix ensembles, the chiral two-matrix model for rectangular matrices, non-intersecting squared Bessel paths, and non-inte
Externí odkaz:
http://arxiv.org/abs/2404.08142
Autor:
Shibani, Antonette, Knight, Simon, Kitto, Kirsty, Karunanayake, Ajanie, Shum, Simon Buckingham
Artificial Intelligence (AI) has become a ubiquitous part of society, but a key challenge exists in ensuring that humans are equipped with the required critical thinking and AI literacy skills to interact with machines effectively by understanding th
Externí odkaz:
http://arxiv.org/abs/2404.06955
Autor:
Lee, Mina, Gero, Katy Ilonka, Chung, John Joon Young, Shum, Simon Buckingham, Raheja, Vipul, Shen, Hua, Venugopalan, Subhashini, Wambsganss, Thiemo, Zhou, David, Alghamdi, Emad A., August, Tal, Bhat, Avinash, Choksi, Madiha Zahrah, Dutta, Senjuti, Guo, Jin L. C., Hoque, Md Naimul, Kim, Yewon, Knight, Simon, Neshaei, Seyed Parsa, Sergeyuk, Agnia, Shibani, Antonette, Shrivastava, Disha, Shroff, Lila, Stark, Jessi, Sterman, Sarah, Wang, Sitong, Bosselut, Antoine, Buschek, Daniel, Chang, Joseph Chee, Chen, Sherol, Kreminski, Max, Park, Joonsuk, Pea, Roy, Rho, Eugenia H., Shen, Shannon Zejiang, Siangliulue, Pao
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to address this challenge by proposing a design space as a structured way to
Externí odkaz:
http://arxiv.org/abs/2403.14117
Publikováno v:
SIGMA 20 (2024), 008, 27 pages
It is well known that the Painlev\'e equations can formally degenerate to autonomous differential equations with elliptic function solutions in suitable scaling limits. A way to make this degeneration rigorous is to apply Deift-Zhou steepest-descent
Externí odkaz:
http://arxiv.org/abs/2308.16051
Autor:
BUCKINGHAM, WILLIAM D.
Publikováno v:
Louisiana History: The Journal of the Louisiana Historical Association, 2024 Jan 01. 65(1), 67-98.
Externí odkaz:
https://www.jstor.org/stable/27303486
Remote sensing observations of the Earth's surface are frequently stymied by clouds, water vapour, and aerosols in our atmosphere. These degrade or preclude the measurementof quantities critical to scientific and, hence, societal applications. In thi
Externí odkaz:
http://arxiv.org/abs/2307.09227