Zobrazeno 1 - 10
of 194 166
pro vyhledávání: '"SCHULTZ, A."'
Autor:
Dominé, Laura, Biswas, Ankit, Cloete, Richard, Delacroix, Alex, Fedorenko, Andriy, Jacaruso, Lucas, Kelderman, Ezra, Keto, Eric, Little, Sarah, Loeb, Abraham, Masson, Eric, Prior, Mike, Schultz, Forrest, Szenher, Matthew, Watters, Wes, White, Abby
To date there is little publicly available scientific data on Unidentified Aerial Phenomena (UAP) whose properties and kinematics purportedly reside outside the performance envelope of known phenomena. To address this deficiency, the Galileo Project
Externí odkaz:
http://arxiv.org/abs/2411.07956
We investigate metric conditions that allow to prove existence and uniqueness of a map solving the Monge problem between two marginals in a metric (measure) space, proving two main results. Firstly, we introduce a nonsmooth version of the Riemannian
Externí odkaz:
http://arxiv.org/abs/2410.22567
Despite multivariate spatio-temporal counts often containing many zeroes, zero-inflated multinomial models for space-time data have not been considered. We are interested in comparing the transmission dynamics of several co-circulating infectious dis
Externí odkaz:
http://arxiv.org/abs/2410.16617
Federated Learning (FL) is a privacy-preserving approach that allows servers to aggregate distributed models transmitted from local clients rather than training on user data. More recently, FL has been applied to Speech Emotion Recognition (SER) for
Externí odkaz:
http://arxiv.org/abs/2410.13221
Assemblies of plasmonic nanoparticles (NPs) support hybridized modes of localized surface plasmons (LSPs), which delocalize in geometrically well-ordered arrangements. Here, the hybridization behavior of LSPs in geometrically completely disordered ar
Externí odkaz:
http://arxiv.org/abs/2410.10514
Dependencies among attributes are a common aspect of tabular data. However, whether existing tabular data generation algorithms preserve these dependencies while generating synthetic data is yet to be explored. In addition to the existing notion of f
Externí odkaz:
http://arxiv.org/abs/2409.17684
Speech is a rich biomarker that encodes substantial information about the health of a speaker, and thus it has been proposed for the detection of numerous diseases, achieving promising results. However, questions remain about what the models trained
Externí odkaz:
http://arxiv.org/abs/2409.10230
Autor:
Jacobs, Ryan, Polak, Maciej P., Schultz, Lane E., Mahdavi, Hamed, Honavar, Vasant, Morgan, Dane
We demonstrate the ability of large language models (LLMs) to perform material and molecular property regression tasks, a significant deviation from the conventional LLM use case. We benchmark the Large Language Model Meta AI (LLaMA) 3 on several mol
Externí odkaz:
http://arxiv.org/abs/2409.06080
In the study of auditory attention, it has been revealed that there exists a robust correlation between attended speech and elicited neural responses, measurable through electroencephalography (EEG). Therefore, it is possible to use the attention inf
Externí odkaz:
http://arxiv.org/abs/2409.02489
Autor:
Moustafa, Sabry G., Schultz, Andrew J.
Imaginary-time path integral (PI) is a rigorous tool to treat nuclear quantum effects in static properties. However, with its high computational demand, it is crucial to devise precise estimators. We introduce generalized PI estimators for the energy
Externí odkaz:
http://arxiv.org/abs/2408.11214