Zobrazeno 1 - 10
of 1 675
pro vyhledávání: '"Prestel, A."'
Autor:
Sadidi, Farahnaz, Prestel, Thomas
ChatGPT has significantly shaped digital transformation discussions. Its widespread testing and ongoing optimization highlight the need to assess its capabilities and encourage critical reflection. This study explores how students' critical reflectio
Externí odkaz:
http://arxiv.org/abs/2410.01354
Autor:
Gui, Ming, Fischer, Johannes S., Prestel, Ulrich, Ma, Pingchuan, Kotovenko, Dmytro, Grebenkova, Olga, Baumann, Stefan Andreas, Hu, Vincent Tao, Ommer, Björn
Monocular depth estimation is crucial for numerous downstream vision tasks and applications. Current discriminative approaches to this problem are limited due to blurry artifacts, while state-of-the-art generative methods suffer from slow sampling du
Externí odkaz:
http://arxiv.org/abs/2403.13788
Autor:
Herrmann, Nils, Akhtar, Mariam, Arya, Daanish, Doherty, Marcus W., Macha, Pascal, Preis, Florian, Prestel, Stefan, Walker, Michael L.
We demonstrate - for the first time - the application of a quantum machine learning (QML) algorithm on an on-site room-temperature quantum computer. A two-qubit quantum computer installed at the Pawsey Supercomputing Centre in Perth, Australia, is us
Externí odkaz:
http://arxiv.org/abs/2312.11673
Autor:
Seda Yasa, Elisabeth S. Butz, Alessio Colombo, Uma Chandrachud, Luca Montore, Sarah Tschirner, Matthias Prestel, Steven D. Sheridan, Stephan A. Müller, Janos Groh, Stefan F. Lichtenthaler, Sabina Tahirovic, Susan L. Cotman
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract Loss-of-function mutations in CLN3 cause juvenile Batten disease, featuring neurodegeneration and early-stage neuroinflammation. How loss of CLN3 function leads to early neuroinflammation is not yet understood. Here, we have comprehensively
Externí odkaz:
https://doaj.org/article/0249f9c9d7da49e085adce9537d2335d
Autor:
Herrmann, Nils, Arya, Daanish, Doherty, Marcus W., Mingare, Angus, Pillay, Jason C., Preis, Florian, Prestel, Stefan
Several benchmarks have been proposed to holistically measure quantum computing performance. While some have focused on the end user's perspective (e.g., in application-oriented benchmarks), the real industrial value taking into account the physical
Externí odkaz:
http://arxiv.org/abs/2303.02138
Autor:
Shufan Zhang, Yue Wu, Michael Skaro, Jia-Hwei Cheong, Amanda Bouffier-Landrum, Isaac Torrres, Yinping Guo, Lauren Stupp, Brooke Lincoln, Anna Prestel, Camryn Felt, Sedona Spann, Abhyuday Mandal, Nancy Johnson, Jonathan Arnold
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The presence of Arbuscular Mycorrhizal Fungi (AMF) in vascular land plant roots is one of the most ancient of symbioses supporting nitrogen and phosphorus exchange for photosynthetically derived carbon. Here we provide a multi-scale modeling
Externí odkaz:
https://doaj.org/article/9423b18c9e034f03906d5494fcae7410
Autor:
van Kampen, A. M., Martinez, A. Bermudez, Banos, L. I. Estevez, Hautmann, F., Jung, H., Mendizabal, M., Figueroa, K. Moral, Prestel, S., Monfared, S. Taheri, Wang, Q., Wichmann, K., Yang, H.
We discuss our recent results on azimuthal distributions in vector boson + jets and multi-jet production at the LHC, obtained from the matching of next-to-leading order (NLO) perturbative matrix elements with transverse momentum dependent (TMD) parto
Externí odkaz:
http://arxiv.org/abs/2209.13945
Autor:
Nachman, Benjamin, Prestel, Stefan
We develop EventMover, a differentiable parton shower event generator. This tool generates high- and variable-length scattering events that can be moved with simulation derivatives to change the value of the scale $\Lambda_\mathrm{QCD}$ defining the
Externí odkaz:
http://arxiv.org/abs/2208.02274
Discriminating between quark- and gluon-initiated jets has long been a central focus of jet substructure, leading to the introduction of numerous observables and calculations to high perturbative accuracy. At the same time, there have been many attem
Externí odkaz:
http://arxiv.org/abs/2207.12411
Publikováno v:
J. High Energ. Phys. 2022, 35 (2022)
High-quality simulated data is crucial for particle physics discoveries. Therefore, parton shower algorithms are a major building block of the data synthesis in event generator programs. However, the core algorithms used to generate parton showers ha
Externí odkaz:
http://arxiv.org/abs/2207.10694