Zobrazeno 1 - 10
of 19 455
pro vyhledávání: '"Boehm, P."'
Autor:
Böhm, Christoph, Hartl, Urs
A finite dimensional real vector space carrying an action of a real reductive group possesses a moment map and a stratification as defined by Kirwan and Ness. In this article we investigate the properties of the moment map, the Kirwan-Ness stratifica
Externí odkaz:
http://arxiv.org/abs/2406.19340
Autor:
Fogh, E., Giriat, G., Zayed, M. E., Piovano, A., Boehm, M., Steffens, P., Safiulina, I., Hansen, U. B., Klotz, S., Soh, J. -R., Pomjakushina, E., Mila, F., Normand, B., Rønnow, H. M.
Quantum magnetic materials can provide explicit realizations of paradigm models in quantum many-body physics. In this context, SrCu$_2$(BO$_3$)$_2$ is a faithful realization of the Shastry-Sutherland model (SSM) for ideally frustrated spin dimers, ev
Externí odkaz:
http://arxiv.org/abs/2406.17546
Autor:
Matteucci, Federico, Arzamasov, Vadim, Cribeiro-Ramallo, Jose, Heyden, Marco, Ntounas, Konstantin, Böhm, Klemens
Experimental studies are a cornerstone of machine learning (ML) research. A common, but often implicit, assumption is that the results of a study will generalize beyond the study itself, e.g. to new data. That is, there is a high probability that rep
Externí odkaz:
http://arxiv.org/abs/2406.17374
Autor:
Rangnekar, Aneesh, Boehm, Kevin M., Aherne, Emily A., Nikolovski, Ines, Gangai, Natalie, Liu, Ying, Zamarin, Dimitry, Roche, Kara L., Shah, Sohrab P., Lakhman, Yulia, Veeraraghavan, Harini
Two self-supervised pretrained transformer-based segmentation models (SMIT and Swin UNETR) fine-tuned on a dataset of ovarian cancer CT images provided reasonably accurate delineations of the tumors in an independent test dataset. Tumors in the adnex
Externí odkaz:
http://arxiv.org/abs/2406.17666
Autor:
Schwaiger, Simon, Muster, Lucas, Novotny, Georg, Schebek, Michael, Wöber, Wilfried, Thalhammer, Stefan, Böhm, Christoph
This paper describes a novel semi-autonomous mobile robot system designed to assist search and rescue (SAR) first responders in disaster scenarios. While robots offer significant potential in SAR missions, current solutions are limited in their abili
Externí odkaz:
http://arxiv.org/abs/2406.14385
Autor:
Dinh, Tu Anh, Mullov, Carlos, Bärmann, Leonard, Li, Zhaolin, Liu, Danni, Reiß, Simon, Lee, Jueun, Lerzer, Nathan, Ternava, Fabian, Gao, Jianfeng, Waibel, Alexander, Asfour, Tamim, Beigl, Michael, Stiefelhagen, Rainer, Dachsbacher, Carsten, Böhm, Klemens, Niehues, Jan
With the rapid development of Large Language Models (LLMs), it is crucial to have benchmarks which can evaluate the ability of LLMs on different domains. One common use of LLMs is performing tasks on scientific topics, such as writing algorithms, que
Externí odkaz:
http://arxiv.org/abs/2406.10421
Autor:
Böhm, Thomas U., Sirica, Nicholas S., Jang, Bo Gyu, Liu, Yu, Bauer, Eric D., Huang, Yue, Homes, Christopher C., Zhu, Jian-Xin, Ronning, Filip
The optical conductivity $\sigma(\omega,T)$ of CeRhSn was studied by broadband infrared spectroscopy. Temperature-dependent spectral weight transfer occurs over high energy ($0.8\,$eV) and temperature (${\sim}500\,$K) scales, classifying CeRhSn as a
Externí odkaz:
http://arxiv.org/abs/2406.01516
AI-based Classification of Customer Support Tickets: State of the Art and Implementation with AutoML
Autor:
Truss, Mario, Boehm, Stephan
Publikováno v:
Proceedings of the IWEMB 2021/2022: Fifth and Sixth International Workshop on Entrepreneurship, Electronic and Mobile Business
Automation of support ticket classification is crucial to improve customer support performance and shortening resolution time for customer inquiries. This research aims to test the applicability of automated machine learning (AutoML) as a technology
Externí odkaz:
http://arxiv.org/abs/2406.01789
We give improved approximations for two metric \textsc{Traveling Salesman Problem} (TSP) variants. In \textsc{Ordered TSP} (OTSP) we are given a linear ordering on a subset of nodes $o_1, \ldots, o_k$. The TSP solution must have that $o_{i+1}$ is vis
Externí odkaz:
http://arxiv.org/abs/2405.12876
Autor:
Zajnulina, Marina, Böhm, Michael
The temporal Talbot effect refers to the periodic self-imaging of pulse trains in optical fibers. The connection between the linear and nonlinear temporal Talbot effect is still not fully understood. To address this challenge, we use Soliton Radiatio
Externí odkaz:
http://arxiv.org/abs/2405.09160