Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maximilian Poretschkin"'
Type II string theory on Calabi-Yau manifolds with torsion and non-Abelian discrete gauge symmetries
Publikováno v:
Journal of High Energy Physics, Vol 2017, Iss 7, Pp 1-22 (2017)
Abstract We provide the first explicit example of Type IIB string theory compactification on a globally defined Calabi-Yau threefold with torsion which results in a four-dimensional effective theory with a non-Abelian discrete gauge symmetry. Our exa
Externí odkaz:
https://doaj.org/article/a763c1cb67f24325befa890d7564a8eb
Publikováno v:
Journal of High Energy Physics, Vol 2017, Iss 6, Pp 1-26 (2017)
Abstract We study aspects of Heterotic/F-theory duality for compactifications with Abelian discrete gauge symmetries. We consider F-theory compactifications on genus-one fibered Calabi-Yau manifolds with n-sections, associated with the Tate-Shafarevi
Externí odkaz:
https://doaj.org/article/69915ec626ef40a9a50f98d390251834
Publikováno v:
Nuclear Physics B, Vol 898, Iss C, Pp 736-750 (2015)
Discrete gauge groups naturally arise in F-theory compactifications on genus-one fibered Calabi–Yau manifolds. Such geometries appear in families that are parameterized by the Tate–Shafarevich group of the genus-one fibration. While the F-theory
Externí odkaz:
https://doaj.org/article/743838ecacc348f7b10a1042ab588c27
Autor:
Sergio Genovesi, Julia Maria Mönig, Anna Schmitz, Maximilian Poretschkin, Maram Akila, Manoj Kahdan, Romina Kleiner, Lena Krieger, Alexander Zimmermann
Publikováno v:
AI and Ethics.
In the current European debate on the regulation of Artificial Intelligence there is a consensus that Artificial Intelligence (AI) systems should be fair. However, the multitude of existing indicators allowing an AI system to be labeled as “(un)fai
Artificial intelligence is increasingly penetrating industrial applications as well as areas that affect our daily lives. As a consequence, there is a need for criteria to validate whether the quality of AI applications is sufficient for their intend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68318f31df11994c362b3a1adb6dd811
Autor:
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi-Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
Publikováno v:
Deep Neural Networks and Data for Automated Driving ISBN: 9783031012327
Fingscheidt, Gottschalk et al. (Hg.): Deep Neural Networks and Data for Automated Driving. Robustness, Uncertainty Quantification, and Insights Towards Safety
Fingscheidt, Gottschalk et al. (Hg.): Deep Neural Networks and Data for Automated Driving. Robustness, Uncertainty Quantification, and Insights Towards Safety
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These shortcomings are diverse and range from a lack of generalization over i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a97320425a5b7fac20b0272cdc9fe19b
https://doi.org/10.1007/978-3-031-01233-4_1
https://doi.org/10.1007/978-3-031-01233-4_1
Publikováno v:
Regulierung für Algorithmen und Künstliche Intelligenz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef0a7f04728802a97357b23a68c1da54
https://doi.org/10.5771/9783748927990-175
https://doi.org/10.5771/9783748927990-175
Type II string theory on Calabi-Yau manifolds with torsion and non-Abelian discrete gauge symmetries
Publikováno v:
Journal of High Energy Physics
Journal of High Energy Physics, Vol 2017, Iss 7, Pp 1-22 (2017)
Journal of High Energy Physics, Vol 2017, Iss 7, Pp 1-22 (2017)
We provide the first explicit example of Type IIB string theory compactification on a globally defined Calabi-Yau threefold with torsion which results in a four-dimensional effective theory with a non-Abelian discrete gauge symmetry. Our example is b
Publikováno v:
Journal of High Energy Physics, Vol 2017, Iss 6, Pp 1-26 (2017)
Journal of High Energy Physics
Journal of High Energy Physics
We study aspects of Heterotic/F-theory duality for compactifications with Abelian discrete gauge symmetries. We consider F-theory compactifications on genus-one fibered Calabi-Yau manifolds with n-sections, associated with the Tate-Shafarevich group
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::570fd95e5aa0a5f53c640c8e3e750723
http://arxiv.org/abs/1607.03176
http://arxiv.org/abs/1607.03176
Publikováno v:
Communications in Number Theory and Physics
This work considers aspects of almost holomorphic and meromorphic Siegel modular forms from the perspective of physics and mathematics. The first part is concerned with (refined) topological string theory and the direct integration of the holomorphic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb21286f4253eec33edf5e775c7f17e5
https://hdl.handle.net/21.11116/0000-0004-10B5-D21.11116/0000-0004-10B7-B21.11116/0000-0007-985D-6
https://hdl.handle.net/21.11116/0000-0004-10B5-D21.11116/0000-0004-10B7-B21.11116/0000-0007-985D-6