Zobrazeno 1 - 10
of 9 085
pro vyhledávání: '"Heaton, P"'
Spatial data display correlation between observations collected at neighboring locations. Generally, machine and deep learning methods either do not account for this correlation or do so indirectly through correlated features and thereby forfeit pred
Externí odkaz:
http://arxiv.org/abs/2410.04312
Autor:
Heaton, Howard
Many applications using large datasets require efficient methods for minimizing a proximable convex function subject to satisfying a set of linear constraints within a specified tolerance. For this task, we present a proximal projection (PP) algorith
Externí odkaz:
http://arxiv.org/abs/2407.16998
We study approximations to the Moreau envelope -- and infimal convolutions more broadly -- based on Laplace's method, a classical tool in analysis which ties certain integrals to suprema of their integrands. We believe the connection between Laplace'
Externí odkaz:
http://arxiv.org/abs/2406.02003
Autor:
Halliday, Jack W. D., Marocco, Giacomo, Beyer, Konstantin A., Heaton, Charles, Nakatsutsumi, Motoaki, Preston, Thomas R., Arrowsmith, Charles D., Baehtz, Carsten, Goede, Sebastian, Humphries, Oliver, Garcia, Alejandro Laso, Plackett, Richard, Svensson, Pontus, Vacalis, Georgios, Wark, Justin, Wood, Daniel, Zastrau, Ulf, Bingham, Robert, Shipsey, Ian, Sarkar, Subir, Gregori, Gianluca
We present new exclusion bounds obtained at the European X-ray Free Electron Laser facility (EuXFEL) on axion-like particles (ALPs) in the mass range 10^{-3} eV < m_a < 10^{4} eV. Our experiment exploits the Primakoff effect via which photons can, in
Externí odkaz:
http://arxiv.org/abs/2404.17333
Autor:
Crill, Brendan P., Werner, Michael, Akeson, Rachel, Ashby, Matthew, Bleem, Lindsey, Bock, James J., Bryan, Sean, Burnham, Jill, Byunh, Joyce, Chang, Tzu-Ching, Chiang, Yi-Kuan, Cook, Walter, Cooray, Asantha, Davis, Andrew, Doré, Olivier, Dowell, C. Darren, Dubois-Felsmann, Gregory, Eifler, Tim, Faisst, Andreas, Habib, Salman, Heinrich, Chen, Heitmann, Katrin, Heaton, Grigory, Hirata, Christopher, Hristov, Viktor, Hui, Howard, Jeong, Woong-Seob, Kang, Jae Hwan, Kecman, Branislav, Kirkpatrick, J. Davy, Korngut, Phillip M., Krause, Elisabeth, Lee, Bomee, Lisse, Carey, Masters, Daniel, Mauskopf, Philip, Melnick, Gary, Miyasaka, Hiromasa, Nayyeri, Hooshang, Nguyen, Hien, Öberg, Karin, Padin, Steve, Paladini, Roberta, Pourrahmani, Milad, Pyo, Jeonghyun, Smith, Roger, Song, Yong-Seong, Symons, Teresa, Teplitz, Harry, Tolls, Volker, Unwin, Steve, Windhorst, Rogier, Yang, Yujin, Zemcov, Michael
Publikováno v:
Proceedings Volume 11443, Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave; 114430I (2020)
SPHEREx, the Spectro-Photometer for the History of the Universe, Epoch of Reionization, and ices Explorer, is a NASA MIDEX mission planned for launch in 2024. SPHEREx will carry out the first all-sky spectral survey at wavelengths between 0.75 micron
Externí odkaz:
http://arxiv.org/abs/2404.11017
Autor:
Biscione, Valerio, Yin, Dong, Malhotra, Gaurav, Dujmovic, Marin, Montero, Milton L., Puebla, Guillermo, Adolfi, Federico, Heaton, Rachel F., Hummel, John E., Evans, Benjamin D., Habashy, Karim, Bowers, Jeffrey S.
Multiple benchmarks have been developed to assess the alignment between deep neural networks (DNNs) and human vision. In almost all cases these benchmarks are observational in the sense they are composed of behavioural and brain responses to naturali
Externí odkaz:
http://arxiv.org/abs/2404.05290
Optical Character Recognition (OCR) is an established task with the objective of identifying the text present in an image. While many off-the-shelf OCR models exist, they are often trained for either scientific (e.g., formulae) or generic printed Eng
Externí odkaz:
http://arxiv.org/abs/2403.15724
Autor:
Johnson, Jacob A., Heaton, Matthew J., Christensen, William F., Warr, Lynsie R., Rupper, Summer B.
Autoencoders are powerful machine learning models used to compress information from multiple data sources. However, autoencoders, like all artificial neural networks, are often unidentifiable and uninterpretable. This research focuses on creating an
Externí odkaz:
http://arxiv.org/abs/2403.07822
Autor:
Frohmader, Andrew, Heaton, Alexander
We consider Vinberg $\theta$-groups associated to a cyclic quiver on $k$ nodes. Let $K$ be the product of the general linear groups associated to each node. Then $K$ acts naturally on $\oplus \text{Hom}(V_i, V_{i+1})$ and by Vinberg's theory the poly
Externí odkaz:
http://arxiv.org/abs/2402.16198
In Natural Language Processing (NLP), Machine Reading Comprehension (MRC) is the task of answering a question based on a given context. To handle questions in the medical domain, modern language models such as BioBERT, SciBERT and even ChatGPT are tr
Externí odkaz:
http://arxiv.org/abs/2401.07977