Zobrazeno 1 - 10
of 61 792
pro vyhledávání: '"Reese, A"'
Recent breakthroughs in large language models (LLMs) have generated both interest and concern about their potential adoption as accessible information sources or communication tools across different domains. In public health -- where stakes are high
Externí odkaz:
http://arxiv.org/abs/2411.02594
Autor:
Caufield, Harry, Kroll, Carlo, O'Neil, Shawn T, Reese, Justin T, Joachimiak, Marcin P, Hegde, Harshad, Harris, Nomi L, Krishnamurthy, Madan, McLaughlin, James A, Smedley, Damian, Haendel, Melissa A, Robinson, Peter N, Mungall, Christopher J
Effective data-driven biomedical discovery requires data curation: a time-consuming process of finding, organizing, distilling, integrating, interpreting, annotating, and validating diverse information into a structured form suitable for databases an
Externí odkaz:
http://arxiv.org/abs/2411.00046
A novel physics-informed operator learning technique based on spectral methods is introduced to model the complex behavior of heterogeneous materials. The Lippmann-Schwinger operator in Fourier space is employed to construct physical constraints with
Externí odkaz:
http://arxiv.org/abs/2410.19027
Autor:
Casamiquela, L., Reese, D. R., Lebreton, Y., Haywood, M., Di Matteo, P., Anders, F., Jash, R., Katz, D., Cerqui, V., Boin, T., Kordopatis, G.
Reliable stellar age estimates are fundamental for testing several problems in modern astrophysics, in particular since they set the time scales of Galactic dynamical and chemical evolution. In this study, we determine ages using only Gaia DR3 photom
Externí odkaz:
http://arxiv.org/abs/2410.15781
Autor:
Madsen III, Arlyn Reese
This paper investigates the impact of dynamic range compression (DRC) on music genre classification accuracy. By applying various compression settings to the test set of 200 songs, we aim to determine if compression can enhance the classifier's abili
Externí odkaz:
http://arxiv.org/abs/2410.13581
Autor:
Gomez, Nicolas Moreno, Athanassiadis, Athanasios G., Reuter, Fabian, Reese, Hendrik, Jade, Helen M., Poortinga, Albert, Ohl, Claus-Dieter, Fischer, Peer
Ultrasound offers promising applications in biology and chemistry, but quantifying local ultrasound conditions remains challenging due to the lack of non-invasive measurement tools. We introduce antibubbles as novel optical reporters of local ultraso
Externí odkaz:
http://arxiv.org/abs/2410.11477
Autor:
Sultanow, Eldar, Selimllari, Fation, Dutta, Siddhant, Reese, Barry D., Tehrani, Madjid, Buchanan, William J
Data poisoning attacks on machine learning models aim to manipulate the data used for model training such that the trained model behaves in the attacker's favor. In classical models such as deep neural networks, large chains of dot products do indeed
Externí odkaz:
http://arxiv.org/abs/2410.05145
The revolutionary advancements in metal additive manufacturing have enabled the production of alloy-based lattice structures with complex geometrical features and high resolutions. This has encouraged the development of nonlinear material models, inc
Externí odkaz:
http://arxiv.org/abs/2409.17293
This study presents the first global analysis of on-demand video streaming over Low Earth Orbit (LEO) satellite networks, using data from over one million households across 85 countries. We highlight Starlink's role as a major LEO provider, enhancing
Externí odkaz:
http://arxiv.org/abs/2409.09846