Zobrazeno 1 - 10
of 913
pro vyhledávání: '"Schosser, A."'
Tensions between cosmological parameters derived through different channels can be a genuine signature of new physics that $\Lambda$CDM as the standard model is not able to reproduce, in particular in the missing consistency between parameter estimat
Externí odkaz:
http://arxiv.org/abs/2402.19100
Modern machine learning will allow for simulation-based inference from reionization-era 21cm observations at the Square Kilometre Array. Our framework combines a convolutional summary network and a conditional invertible network through a physics-ins
Externí odkaz:
http://arxiv.org/abs/2401.04174
Autor:
Vahidi, Amirhossein, Schoßer, Simon, Wimmer, Lisa, Li, Yawei, Bischl, Bernd, Hüllermeier, Eyke, Rezaei, Mina
In this paper, we propose a novel probabilistic self-supervised learning via Scoring Rule Minimization (ProSMIN), which leverages the power of probabilistic models to enhance representation quality and mitigate collapsing representations. Our propose
Externí odkaz:
http://arxiv.org/abs/2309.02048
Publikováno v:
Phys. Rev. B 109, 165144 (2024)
The implementation of an efficient self-consistent field (SCF) method including both scalar relativistic effects and spin-orbit interaction in density functional theory (DFT) is presented. We make use of Gaussian-type orbitals (GTOs) and all integral
Externí odkaz:
http://arxiv.org/abs/2305.03817
Starobinsky inflation is an attractive, fundamental model to explain the Planck measurements, and its higher-order extension may allow us to probe quantum gravity effects. We show that future CMB data combined with the 21cm intensity map from SKA wil
Externí odkaz:
http://arxiv.org/abs/2210.05698
Autor:
Schosser, Josef1 (AUTHOR) josefschosser01@gmail.com
Publikováno v:
Communications in Statistics: Case Studies & Data Analysis. Mar2024, p1-18. 18p. 1 Illustration, 3 Charts.
Autor:
Birgit Ludwig, Laura Carlberg, Klemens Kienesberger, Patrick Swoboda, Marleen M. M. Swoboda, Alexandra Bernegger, Romina Koller, Michelle Inaner, Monika Fuxjäger, Melanie Zotter, Nicolas Schmelzle, Birgit Senft, Lisa Meisner, Daniela Fischer-Hansal, Jasmin Huber, Silvia Schoenthaler, Nestor D. Kapusta, Helmuth Haslacher, Martin Aigner, Andreas Weinhaeusel, Siegfried Kasper, Alexandra Schosser
Publikováno v:
BMC Psychiatry, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background Oxytocin (OXT) is a neuropeptide and hormone involved in emotional functioning and also seems to play a role in moderating the stress response. Both preclinical and clinical studies point to an increased methylation status of the
Externí odkaz:
https://doaj.org/article/4256c547bd374606ac99c8d1461c7c28
Akademický článek
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Publikováno v:
SciPost Physics, Vol 15, Iss 2, p 047 (2023)
Starobinsky inflation is an attractive, fundamental model to explain the Planck measurements, and its higher-order extension may allow us to probe quantum gravity effects. We show that future CMB data combined with the 21cm intensity map from SKA wil
Externí odkaz:
https://doaj.org/article/ddbb61c43dde4daa802ccadad714ff1a
Autor:
Josef Schosser
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-12 (2022)
Abstract Background Contemporary data sets are frequently relational in nature. In retail, for example, data sets are more granular than traditional data, often indexing individual products, outlets, or even users, rather than aggregating them at the
Externí odkaz:
https://doaj.org/article/fe9a19c360b342a182b63283886784af