Zobrazeno 1 - 10
of 1 694
pro vyhledávání: '"Matthiesen P"'
Bolted joints are critical in engineering for maintaining structural integrity and reliability. Accurate prediction of parameters influencing their function and behavior is essential for optimal performance. Traditional methods often fail to capture
Externí odkaz:
http://arxiv.org/abs/2412.08286
Autor:
Schneider, David, Reiß, Simon, Kugler, Marco, Jaus, Alexander, Peng, Kunyu, Sutschet, Susanne, Sarfraz, M. Saquib, Matthiesen, Sven, Stiefelhagen, Rainer
Exploring the intricate dynamics between muscular and skeletal structures is pivotal for understanding human motion. This domain presents substantial challenges, primarily attributed to the intensive resources required for acquiring ground truth musc
Externí odkaz:
http://arxiv.org/abs/2411.00128
Federated learning in satellite constellations, where the satellites collaboratively train a machine learning model, is a promising technology towards enabling globally connected intelligence and the integration of space networks into terrestrial mob
Externí odkaz:
http://arxiv.org/abs/2409.14832
Autor:
Jiang, Xin, Zheng, Junwei, Liu, Ruiping, Li, Jiahang, Zhang, Jiaming, Matthiesen, Sven, Stiefelhagen, Rainer
As Vision-Language Models (VLMs) advance, human-centered Assistive Technologies (ATs) for helping People with Visual Impairments (PVIs) are evolving into generalists, capable of performing multiple tasks simultaneously. However, benchmarking VLMs for
Externí odkaz:
http://arxiv.org/abs/2409.14215
This paper investigates federated learning (FL) in a multi-hop communication setup, such as in constellations with inter-satellite links. In this setup, part of the FL clients are responsible for forwarding other client's results to the parameter ser
Externí odkaz:
http://arxiv.org/abs/2407.18200
Autor:
Löschnauer, C. M., Toba, J. Mosca, Hughes, A. C., King, S. A., Weber, M. A., Srinivas, R., Matt, R., Nourshargh, R., Allcock, D. T. C., Ballance, C. J., Matthiesen, C., Malinowski, M., Harty, T. P.
The central challenge of quantum computing is implementing high-fidelity quantum gates at scale. However, many existing approaches to qubit control suffer from a scale-performance trade-off, impeding progress towards the creation of useful devices. H
Externí odkaz:
http://arxiv.org/abs/2407.07694
Autor:
Cherian, Anoop, Peng, Kuan-Chuan, Lohit, Suhas, Matthiesen, Joanna, Smith, Kevin, Tenenbaum, Joshua B.
Recent years have seen a significant progress in the general-purpose problem solving abilities of large vision and language models (LVLMs), such as ChatGPT, Gemini, etc.; some of these breakthroughs even seem to enable AI models to outperform human a
Externí odkaz:
http://arxiv.org/abs/2406.15736
Autor:
Segantini, Greta, Hsu, Chih-Ying, Rischau, Carl Willem, Blah, Patrick, Matthiesen, Mattias, Gariglio, Stefano, Triscone, Jean-Marc, Alexander, Duncan T. L., Caviglia, Andrea D.
The epitaxial growth of complex oxides enables the production of high-quality films, yet substrate choice is restricted to certain symmetry and lattice parameters, thereby limiting the technological applications of epitaxial oxides. In comparison, th
Externí odkaz:
http://arxiv.org/abs/2406.12743
We prove quantitative estimates for averages of the von Mangoldt and M\"obius functions along polynomial progressions $n+P_1(m),\ldots, n+P_k(m)$ for a large class of polynomials $P_i$. The error terms obtained save an arbitrary power of logarithm, m
Externí odkaz:
http://arxiv.org/abs/2405.12190
Autor:
Boosen, Martin, Franke, Michael, Grossmann, Yves Vincent, Ho, Sy Dat, Leiminger, Larissa, Matthiesen, Jan
This paper analyses the practice of publishing research data within the Max Planck Society in the year 2020. The central finding of the study is that up to 40\% of the empirical text publications had research data available. The aggregation of the av
Externí odkaz:
http://arxiv.org/abs/2402.18182