Zobrazeno 1 - 10
of 45 835
pro vyhledávání: '"Morgenstern AS"'
Autor:
Gerbig, Christian, Morgenstern, Silvio, Hassanien, Ahmed S., Adrian, Marlene, Ungeheuer, Arne, Baumert, Thomas, Senftleben, Arne
Coherent optical phonons in the degenerate inter-layer shear mode of graphite launched by femtosecond laser pulses were investigated using ultrafast electron diffraction. The collective atomic motion is shown to be polarized in a direction related to
Externí odkaz:
http://arxiv.org/abs/2412.16392
The emergence of neural representations has revolutionized our means for digitally viewing a wide range of 3D scenes, enabling the synthesis of photorealistic images rendered from novel views. Recently, several techniques have been proposed for conne
Externí odkaz:
http://arxiv.org/abs/2410.10719
Autor:
Pestka, Benjamin, Strasdas, Jeff, Bihlmayer, Gustav, Budniak, Adam K., Liebmann, Marcus, Leuth, Niklas, Boban, Honey, Feyer, Vitaliy, Cojocariu, Iulia, Baranowski, Daniel, Mearini, Simone, Amouyal, Yaron, Waldecker, Lutz, Beschoten, Bernd, Stampfer, Christoph, Plucinski, Lukasz, Lifshitz, Efrat, Kratzer, Peter, Morgenstern, Markus
Publikováno v:
ACS Nano 18, 32924 (2024)
Magnetic 2D materials enable novel tuning options of magnetism. As an example, the van der Waals material FePS3, a zigzag-type intralayer antiferromagnet, exhibits very strong magnetoelastic coupling due to the different bond lengths along different
Externí odkaz:
http://arxiv.org/abs/2408.12896
Clustering is a fundamental problem in machine learning and operations research. Therefore, given the fact that fairness considerations have become of paramount importance in algorithm design, fairness in clustering has received significant attention
Externí odkaz:
http://arxiv.org/abs/2406.15960
Autor:
Bagdasarian, Milena T., Knoll, Paul, Li, Yi-Hsin, Barthel, Florian, Hilsmann, Anna, Eisert, Peter, Morgenstern, Wieland
3D Gaussian Splatting (3DGS) has emerged as a cutting-edge technique for real-time radiance field rendering, offering state-of-the-art performance in terms of both quality and speed. 3DGS models a scene as a collection of three-dimensional Gaussians,
Externí odkaz:
http://arxiv.org/abs/2407.09510
Autor:
Bertran, Martin, Tang, Shuai, Kearns, Michael, Morgenstern, Jamie, Roth, Aaron, Wu, Zhiwei Steven
Machine unlearning is motivated by desire for data autonomy: a person can request to have their data's influence removed from deployed models, and those models should be updated as if they were retrained without the person's data. We show that, count
Externí odkaz:
http://arxiv.org/abs/2405.20272
Autor:
Eßer, Marcus, Pratzer, Marco, Frömming, Marc, Duffhauß, Jonas, Bhaskar, Priyamvada, Krzyzowski, Michael A., Morgenstern, Markus
We describe a compact ultra-high vacuum (UHV) scanning tunneling microscope (STM) system that does not need any external supply of cooling liquids. It achieves temperatures down to 1.5 K and a z-noise down to 300 fmRMS for the frequency range of 0.1
Externí odkaz:
http://arxiv.org/abs/2405.20187
Autor:
Morgenstern, Gal, Routtenberg, Tirza
This paper investigates the recovery of a node-domain sparse graph signal from the output of a graph filter. This problem, which is often referred to as the identification of the source of a diffused sparse graph signal, is seminal in the field of gr
Externí odkaz:
http://arxiv.org/abs/2405.10649
Publikováno v:
Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2024)
As training datasets become increasingly drawn from unstructured, uncontrolled environments such as the web, researchers and industry practitioners have increasingly relied upon data filtering techniques to "filter out the noise" of web-scraped data.
Externí odkaz:
http://arxiv.org/abs/2405.08209
NeRF-based 3D-aware Generative Adversarial Networks (GANs) like EG3D or GIRAFFE have shown very high rendering quality under large representational variety. However, rendering with Neural Radiance Fields poses challenges for 3D applications: First, t
Externí odkaz:
http://arxiv.org/abs/2404.10625