Zobrazeno 1 - 10
of 248 126
pro vyhledávání: '"Fabian, A."'
Autor:
Baselga, Marta, Arling, Jan Hendrik, Davis, Naomi, Dingfelder, Jochen, Gregor, Ingrid-Maria, Hauser, Marc, Huegging, Fabian, Jakobs, Karl, Karagounis, Michael, Koppenhoefer, Roland, Kroeninger, Kevin, Lex, Fabian, Parzefall, Ulrich, Sari, Birkan, Spannagel, Simon, Sperlich, Dennis, Weingarten, Jens, Zatocilova, Iveta
Most of the tracking detectors for high energy particle experiments are filled with silicon detectors since they are radiation hard, they can give very small spatial resolution and they can take advantage of the silicon electronics foundries developm
Externí odkaz:
http://arxiv.org/abs/2409.17749
Autor:
Black, Matthew, Harlander, Robert, Lange, Fabian, Rago, Antonio, Shindler, Andrea, Witzel, Oliver
Fermionic gradient flow in combination with the short-flow-time expansion provides a computational method where the renormalisation of hadronic matrix elements on the lattice can be simplified to address e.g. the issue that operators with different m
Externí odkaz:
http://arxiv.org/abs/2409.18891
Understanding the physics of the two-dimensional Hubbard model is widely believed to be a key step in achieving a full understanding of high-$T_\mathrm{c}$ cuprate superconductors. In recent years, progress has been made by large-scale numerical simu
Externí odkaz:
http://arxiv.org/abs/2409.18131
Let $r \ge 3 $, let $n$ be divisible by $r$ and consider the random graph process on $n$ vertices. It was shown recently that in the random graph process, as soon as every vertex is covered by a copy of the complete graph $K_r$, a $K_r$-factor exists
Externí odkaz:
http://arxiv.org/abs/2409.17764
Autor:
Bärmann, Leonard, DeChant, Chad, Plewnia, Joana, Peller-Konrad, Fabian, Bauer, Daniel, Asfour, Tamim, Waibel, Alex
Verbalization of robot experience, i.e., summarization of and question answering about a robot's past, is a crucial ability for improving human-robot interaction. Previous works applied rule-based systems or fine-tuned deep models to verbalize short
Externí odkaz:
http://arxiv.org/abs/2409.17702
Semantic segmentation networks have achieved significant success under the assumption of independent and identically distributed data. However, these networks often struggle to detect anomalies from unknown semantic classes due to the limited set of
Externí odkaz:
http://arxiv.org/abs/2409.17330
Autor:
Grundner, Martin, Kugler, Fabian B., Parcollet, Olivier, Schollwöck, Ulrich, Georges, Antoine, Hampel, Alexander
We show that the remarkably small Fermi-liquid coherence scale and large effective mass observed in LiV$_2$O$_4$ are due to the proximity of a Hund-assisted orbital-selective Mott state. Our work is based on an ab initio dynamical mean-field approach
Externí odkaz:
http://arxiv.org/abs/2409.17268
Several recent studies have investigated low-precision accumulation, reporting improvements in throughput, power, and area across various platforms. However, the accompanying proposals have only considered the quantization-aware training (QAT) paradi
Externí odkaz:
http://arxiv.org/abs/2409.17092
Autor:
Heine, Lukas, Hörst, Fabian, Fragemann, Jana, Luijten, Gijs, Balzer, Miriam, Egger, Jan, Bahnsen, Fin, Sarfraz, M. Saquib, Kleesiek, Jens, Seibold, Constantin
Unstructured data in industries such as healthcare, finance, and manufacturing presents significant challenges for efficient analysis and decision making. Detecting patterns within this data and understanding their impact is critical but complex with
Externí odkaz:
http://arxiv.org/abs/2409.16793
Multimodal Large Language Models (MLLMs) have tremendous potential to improve the accuracy, availability, and cost-effectiveness of healthcare by providing automated solutions or serving as aids to medical professionals. Despite promising first steps
Externí odkaz:
http://arxiv.org/abs/2409.15477