Zobrazeno 1 - 10
of 37 843
pro vyhledávání: '"Weiser A."'
Autor:
Jaksch, Kevin, Dirmeier, Thomas, Weiser, Yannick, Richter, Stefan, Bayraktar, Ömer, Hacker, Bastian, Rösler, Conrad, Khan, Imran, Petscharning, Stefan, Grafenauer, Thomas, Hentschel, Michael, Ömer, Bernhard, Pacher, Christoph, Kanitschar, Florian, Upadhyaya, Twesh, Lin, Jie, Lütkenhaus, Norbert, Leuchs, Gerd, Marquardt, Christoph
Continuous-variable (CV) quantum key distribution (QKD) allows for quantum secure communication with the benefit of being close to existing classical coherent communication. In recent years, CV QKD protocols using a discrete number of displaced coher
Externí odkaz:
http://arxiv.org/abs/2410.12915
The use of computer simulations to model physical systems has gained significant traction in recent years. A key factor in ensuring the accuracy of these models is the proper calibration of model parameters based on real-world observations or experim
Externí odkaz:
http://arxiv.org/abs/2410.12037
Autor:
Weiser, Paul, Langs, Georg, Motyka, Stanislav, Bogner, Wolfgang, Courvoisier, Sébastien, Hoffmann, Malte, Klauser, Antoine, Andronesi, Ovidiu C.
Purpose. Proton Magnetic Resonance Spectroscopic Imaging (1H-MRSI) provides non-invasive spectral-spatial mapping of metabolism. However, long-standing problems in whole-brain 1H-MRSI are spectral overlap of metabolite peaks with large lipid signal f
Externí odkaz:
http://arxiv.org/abs/2410.00746
Autor:
Weiser, Paul, Langs, Georg, Bogner, Wolfgang, Motyka, Stanislav, Strasser, Bernhard, Golland, Polina, Singh, Nalini, Dietrich, Jorg, Uhlmann, Erik, Batchelor, Tracy, Cahill, Daniel, Hoffmann, Malte, Klauser, Antoine, Andronesi, Ovidiu C.
Introduction: Altered neurometabolism is an important pathological mechanism in many neurological diseases and brain cancer, which can be mapped non-invasively by Magnetic Resonance Spectroscopic Imaging (MRSI). Advanced MRSI using non-cartesian comp
Externí odkaz:
http://arxiv.org/abs/2409.18303
Autor:
Puliti, Stefano, Lines, Emily R., Müllerová, Jana, Frey, Julian, Schindler, Zoe, Straker, Adrian, Allen, Matthew J., Winiwarter, Lukas, Rehush, Nataliia, Hristova, Hristina, Murray, Brent, Calders, Kim, Terryn, Louise, Coops, Nicholas, Höfle, Bernhard, Junttila, Samuli, Krůček, Martin, Krok, Grzegorz, Král, Kamil, Levick, Shaun R., Luck, Linda, Missarov, Azim, Mokroš, Martin, Owen, Harry J. F., Stereńczak, Krzysztof, Pitkänen, Timo P., Puletti, Nicola, Saarinen, Ninni, Hopkinson, Chris, Torresan, Chiara, Tomelleri, Enrico, Weiser, Hannah, Astrup, Rasmus
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional ground data. Deep learning (DL) shows promise for automation, yet prog
Externí odkaz:
http://arxiv.org/abs/2408.06507
Autor:
Amsler, Claude, Breuker, Horst, Bumbar, Marcus, Cerwenka, Matti, Costantini, Giovanni, Ferragut, Rafael, Fleck, Markus, Giammarchi, Marco, Gligorova, Angela, Gosta, Giulia, Hunter, Eric David, Killian, Carina, Kolbinger, Bernadette, Kraxberger, Viktoria, Kuroda, Naofumi, Lackner, Moritz, Leali, Marco, Maero, Giancarlo, Mascagna, Valerio, Matsuda, Yasuyuki, Migliorati, Stefano, Murtagh, Daniel James, Nanda, Amit, Nowak, Lilian, Rheinfrank, Simon, Romé, Massimiliano, Simon, Martin C., Tajima, Minori, Toso, Valerio, Ulmer, Stefan, van Beuzekom, Martin, Venturelli, Luca, Weiser, Alina, Widmann, Eberhard, Yamazaki, Yasunori, Zmeskal, Johann
The mechanism of antiproton-nucleus annihilation at rest is not fully understood, despite substantial previous experimental and theoretical work. In this study we used slow extracted antiprotons from the ASACUSA apparatus at CERN to measure the charg
Externí odkaz:
http://arxiv.org/abs/2407.06721
Autor:
Hakimov, Sherzod, Abdullayeva, Yerkezhan, Koshti, Kushal, Schmidt, Antonia, Weiser, Yan, Beyer, Anne, Schlangen, David
While the situation has improved for text-only models, it again seems to be the case currently that multimodal (text and image) models develop faster than ways to evaluate them. In this paper, we bring a recently developed evaluation paradigm from te
Externí odkaz:
http://arxiv.org/abs/2406.14035
This paper introduces a novel hybrid mathematical modeling approach that effectively couples Partial Differential Equations (PDEs) with Ordinary Differential Equations (ODEs), exemplified through the simulation of epidemiological processes. The hybri
Externí odkaz:
http://arxiv.org/abs/2405.12938
We introduce a novel adaptive Gaussian Process Regression (GPR) methodology for efficient construction of surrogate models for Bayesian inverse problems with expensive forward model evaluations. An adaptive design strategy focuses on optimizing both
Externí odkaz:
http://arxiv.org/abs/2404.19459
Autor:
Semler, Phillip, Weiser, Martin
Generating simulated training data needed for constructing sufficiently accurate surrogate models to be used for efficient optimization or parameter identification can incur a huge computational effort in the offline phase. We consider a fully adapti
Externí odkaz:
http://arxiv.org/abs/2404.01864