Zobrazeno 1 - 10
of 18 451
pro vyhledávání: '"Heimann A"'
Egocentric vision aims to capture and analyse the world from the first-person perspective. We explore the possibilities for egocentric wearable devices to improve and enhance industrial use cases w.r.t. data collection, annotation, labelling and down
Externí odkaz:
http://arxiv.org/abs/2406.07738
Autor:
Ha, Cuong Nhat, Asaadi, Shima, Karn, Sanjeev Kumar, Farri, Oladimeji, Heimann, Tobias, Runkler, Thomas
Vision-language models, while effective in general domains and showing strong performance in diverse multi-modal applications like visual question-answering (VQA), struggle to maintain the same level of effectiveness in more specialized domains, e.g.
Externí odkaz:
http://arxiv.org/abs/2404.16192
We present an iterative optimal control method of quantum systems, aimed at an implementation of a desired operation with optimal fidelity. The update step of the method is based on the linear response of the fidelity to the control operators, and it
Externí odkaz:
http://arxiv.org/abs/2404.10462
Autor:
Galtier, Eric, Khaghani, Dimitri, Boiadjieva, Nina, Makita, Mikako, Gleason, Arianna E., Pandolfi, Silvia, Sakdinawat, Anne, Liu, Yanwei, Hodge, Daniel, Sandberg, Richard, Dyer, Gilliss, Heimann, Phil, Seiboth, Frank, Lee, Hae Ja, Nagler, Bob
The last decade has shown the great potential that X-ray Free Electron Lasers (FEL) have to study High Energy Density matter. Experiments at FELs have made significant breakthroughs in Shock Physics and Dynamic Diffraction, Dense Plasma Physics and W
Externí odkaz:
http://arxiv.org/abs/2405.01551
The $k$-Opt algorithm is a local search algorithm for the Traveling Salesman Problem. Starting with an initial tour, it iteratively replaces at most $k$ edges in the tour with the same number of edges to obtain a better tour. Krentel (FOCS 1989) show
Externí odkaz:
http://arxiv.org/abs/2402.07061
Autor:
Lente Kornelius, Somerlik-Fuchs Karin H., Schiemer Jonas Friedrich, Heimann Axel, Ruff Roman, Baumgart Jan, Hoffmann Klaus-Peter, Krüger Thilo B., Kneist Werner
Publikováno v:
Current Directions in Biomedical Engineering, Vol 4, Iss 1, Pp 341-344 (2018)
The motility of the gastrointestinal tract is crucial for digestive activity and dysfunction can lead to severe disease pattern. A method for analysing the motility is needed when treatment approaches shall be evaluated. Therefore markers attached to
Externí odkaz:
https://doaj.org/article/69efd0da9b414a1f8e383d93e9660de3
While graph neural networks (GNNs) are widely used for node and graph representation learning tasks, the reliability of GNN uncertainty estimates under distribution shifts remains relatively under-explored. Indeed, while post-hoc calibration strategi
Externí odkaz:
http://arxiv.org/abs/2401.03350
Autor:
Heimann, Fabian, Lehrenfeld, Christoph
In [Heimann, Lehrenfeld, Preu{\ss}, SIAM J. Sci. Comp. 45(2), 2023, B139 - B165] new geometrically unfitted space-time Finite Element methods for partial differential equations posed on moving domains of higher-order accuracy in space and time have b
Externí odkaz:
http://arxiv.org/abs/2311.02348
Autor:
Schiemer Jonas F., Heimann Axel, Somerlik-Fuchs Karin, Ruff Roman, Hoffmann Klaus-Peter, Baumgart Jan, Kneist Werner
Publikováno v:
Current Directions in Biomedical Engineering, Vol 4, Iss 1, Pp 9-11 (2018)
Gastrointestinal (GI) motility disorders are frequent and clinically significant conditions with impairment of patient’s quality of life. Examples range from upper GI symptoms such as dysphagia and gastroparesis to lower GI manifestations, namely c
Externí odkaz:
https://doaj.org/article/7d44418755a74041b5575d19b3e43ac6
Safe deployment of graph neural networks (GNNs) under distribution shift requires models to provide accurate confidence indicators (CI). However, while it is well-known in computer vision that CI quality diminishes under distribution shift, this beha
Externí odkaz:
http://arxiv.org/abs/2309.10976