Zobrazeno 1 - 10
of 14 957
pro vyhledávání: '"Salnikov, A. . a."'
Autor:
McCormick, Jeremy, Dubois-Felsmann, Gregory P., Salnikov, Andrei, Van Klaveren, Brian, Jenness, Tim
The Data Management team of the Vera C. Rubin Observatory has developed a data description language and toolset, Felis, for defining the semantics and metadata of its public-facing data catalogs. Felis uses a rich Pydantic data model for describing a
Externí odkaz:
http://arxiv.org/abs/2412.09721
Publikováno v:
Advances in Information and Communication Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algo
Externí odkaz:
http://arxiv.org/abs/2411.10474
We propose the $\textit{lifted linear model}$, and derive model-free prediction intervals that become tighter as the correlation between predictions and observations increases. These intervals motivate the $\textit{Lifted Coefficient of Determination
Externí odkaz:
http://arxiv.org/abs/2410.08958
Publikováno v:
International Conference on Applications of Natural Language to Information Systems, pages: 107-118, year: 2024, organization: Springer
While being one of the most popular question types, simple questions such as "Who is the author of Cinderella?", are still not completely solved. Surprisingly, even the most powerful modern Large Language Models are prone to errors when dealing with
Externí odkaz:
http://arxiv.org/abs/2409.15902
We address the Light-Shining-through thin Wall (LSthinW) laboratory setup to estimate the axion-like particle (ALP) sensitivity of a two radio frequency (RF) cavities immersed in static magnetic field. We show that the sufficiently thin wall between
Externí odkaz:
http://arxiv.org/abs/2405.04983
Autor:
Salnikov, S. G., Milstein, A. I.
Publikováno v:
Phys. Rev. D 109, 114015 (2024)
It is shown that the nontrivial energy dependencies of $D\bar{D}$, $D\bar{D}^{*}$, and $D^{*}\bar{D}^{*}$ pair production cross sections in $e^{+}e^{- }$ annihilation are well described within the approach based on account for the final-state interac
Externí odkaz:
http://arxiv.org/abs/2404.06160
Autor:
Chekeres, Olga, Salnikov, Vladimir
Previously, Wilson surface observables were interpreted as a class of Poisson sigma models. We profit from this construction to define and study the super version of Wilson surfaces. We provide some `proof of concept' examples to illustrate modificat
Externí odkaz:
http://arxiv.org/abs/2403.09820
We address the radio frequency (RF) cavity experiment for probing dark photons, which is a modification of the light-shining-through-thin-wall (LSthinW) setup with a relatively thin conducting barrier between cylindrical emitter and hollow receiver.
Externí odkaz:
http://arxiv.org/abs/2402.09899
Autor:
Salnikov, Daniel
The sample correlation coefficient $R$ plays an important role in many statistical analyses. We study the moments of $R$ under the bivariate Gaussian model assumption, provide a novel approximation for its finite sample mean and connect it with known
Externí odkaz:
http://arxiv.org/abs/2401.12190
Network time series are becoming increasingly relevant in the study of dynamic processes characterised by a known or inferred underlying network structure. Generalised Network Autoregressive (GNAR) models provide a parsimonious framework for exploiti
Externí odkaz:
http://arxiv.org/abs/2401.09381