Zobrazeno 1 - 10
of 286 324
pro vyhledávání: '"If Barnes"'
Autor:
Claveau, Charles-Antoine, Bottom, Michael, Jacobson, Shane, Hodapp, Klaus, Huber, Guillaume, Newland, Matthew, Walk, Aidan, Loose, Markus, Baker, Ian, Zemaityte, Egle, Hicks, Matthew, Barnes, Keith, Powell, Richard, Bradley, Ryan, Moore, Eric
Spectroscopy of Earth-like exoplanets and ultra-faint galaxies are priority science cases for the coming decades. Here, broadband source flux rates are measured in photons per square meter per hour, imposing extreme demands on detector performance, i
Externí odkaz:
http://arxiv.org/abs/2411.09185
Autor:
Angdembe, Alisha, Iqbal, Wasim A, Hamad, Rebeen Ali, Casement, John, Consortium, AI-Multiply, Missier, Paolo, Reynolds, Nick, Henkin, Rafael, Barnes, Michael R
Understanding the temporal properties of longitudinal data is critical for identifying trends, predicting future events, and making informed decisions in any field where temporal data is analysed, including health and epidemiology, finance, geoscienc
Externí odkaz:
http://arxiv.org/abs/2411.03210
Autor:
Barnes, Edwin, Bennett, Michael B., Boltasseva, Alexandra, Borish, Victoria, Brown, Bennett, Carr, Lincoln D., Ceballos, Russell R., Dukes, Faith, Easton, Emily W., Economou, Sophia E., Edwards, E. E., Finkelstein, Noah D., Fracchiolla, C., Franklin, Diana, Freericks, J. K., Goss, Valerie, Hannum, Mark, Holincheck, Nancy, Kelly, Angela M., Lanes, Olivia, Lewandowski, H. J., Matsler, Karen Jo, Mercurio, Emily, Montaño, Inès, Murdock, Maajida, Peltz, Kiera, Perron, Justin K., Richardson, Christopher J. K., Rosenberg, Jessica L., Ross, Richard S., Ryu, Minjung, Samuel, Raymond E., Schrode, Nicole, Schwamberger, Susan, Searles, Thomas A., Singh, Chandralekha, Tingle, Alexandra, Zwickl, Benjamin M.
In response to numerous programs seeking to advance quantum education and workforce development in the United States, experts from academia, industry, government, and professional societies convened for a National Science Foundation-sponsored worksho
Externí odkaz:
http://arxiv.org/abs/2410.23460
Autor:
Gao, Chenyu, Kim, Michael E., Ramadass, Karthik, Kanakaraj, Praitayini, Krishnan, Aravind R., Saunders, Adam M., Newlin, Nancy R., Lee, Ho Hin, Yang, Qi, Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Barnes, Lisa L., Bennett, David A., Van Schaik, Katherine D., Archer, Derek B., Hohman, Timothy J., Jefferson, Angela L., Išgum, Ivana, Moyer, Daniel, Huo, Yuankai, Schilling, Kurt G., Zuo, Lianrui, Bao, Shunxing, Khairi, Nazirah Mohd, Li, Zhiyuan, Davatzikos, Christos, Landman, Bennett A.
Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting early detection and implementation of prevention strategies. Diffusion M
Externí odkaz:
http://arxiv.org/abs/2410.22454
Autor:
Gallagher-Syed, Amaya, Pontarini, Elena, Lewis, Myles J., Barnes, Michael R., Slabaugh, Gregory
This study evaluates the generalisation capabilities of state-of-the-art histopathology foundation models on out-of-distribution multi-stain autoimmune Immunohistochemistry datasets. We compare 13 feature extractor models, including ImageNet-pretrain
Externí odkaz:
http://arxiv.org/abs/2410.21560
Reinforcement learning problems often involve large action spaces arising from the simultaneous execution of multiple sub-actions, resulting in combinatorial action spaces. Learning in combinatorial action spaces is difficult due to the exponential g
Externí odkaz:
http://arxiv.org/abs/2410.21151
We remove the dependence on the `hot-spots' conjecture in two of the main theorems of the recent paper of Nickl (2024, Annals of Statistics). Specifically, we characterise the minimax convergence rates for estimation of the transition operator $P_{f}
Externí odkaz:
http://arxiv.org/abs/2410.19393
Autor:
Ullrich, Paul A., Barnes, Elizabeth A., Collins, William D., Dagon, Katherine, Duan, Shiheng, Elms, Joshua, Lee, Jiwoo, Leung, L. Ruby, Lu, Dan, Molina, Maria J., O'Brien, Travis A.
Machine learning (ML) is a revolutionary technology with demonstrable applications across multiple disciplines. Within the Earth science community, ML has been most visible for weather forecasting, producing forecasts that rival modern physics-based
Externí odkaz:
http://arxiv.org/abs/2410.19882
We present a series of 9 Doppler images of the magnetically active K component of the RS CVn-type binary SZ Psc, based on the high-resolution spectroscopic data collected from 2014 to 2018. We apply least-squares deconvolution to all spectra to extra
Externí odkaz:
http://arxiv.org/abs/2410.17497
Autor:
Battersby, Cara, Walker, Daniel L., Barnes, Ashley, Ginsburg, Adam, Lipman, Dani, Alboslani, Danya, Hatchfield, H Perry, Bally, John, Glover, Simon C. O., Henshaw, Jonathan D., Immer, Katharina, Klessen, Ralf S., Longmore, Steven N., Mills, Elisabeth A. C., Molinari, Sergio, Smith, Rowan, Sormani, Mattia C., Tress, Robin G., Zhang, Qizhou
The Central Molecular Zone (CMZ) is the largest reservoir of dense molecular gas in the Galaxy and is heavily obscured in the optical and near-IR. We present an overview of the far-IR dust continuum, where the molecular clouds are revealed, provided
Externí odkaz:
http://arxiv.org/abs/2410.17334