Zobrazeno 1 - 10
of 4 300
pro vyhledávání: '"Kirchhof, P."'
Uncertainty quantification, once a singular task, has evolved into a spectrum of tasks, including abstained prediction, out-of-distribution detection, and aleatoric uncertainty quantification. The latest goal is disentanglement: the construction of m
Externí odkaz:
http://arxiv.org/abs/2402.19460
Accurate uncertainty estimation is vital to trustworthy machine learning, yet uncertainties typically have to be learned for each task anew. This work introduces the first pretrained uncertainty modules for vision models. Similar to standard pretrain
Externí odkaz:
http://arxiv.org/abs/2402.16569
Autor:
Yücel, Oguzhan, Yagodkin, Denis, Kirchhof, Jan N., Kumar, Abhijeet, Dewambrechies, Adrian, Kovalchuk, Sviatoslav, Yu, Yufeng, Bolotin, Kirill I.
We explore strain-activated emission centers formed by atomic force microscopy (AFM) indentation in monolayer \ce{WSe2} on a flexible polymer substrate. In the indented areas, we observe sharp new photoluminescence (PL) peaks characterized by subline
Externí odkaz:
http://arxiv.org/abs/2402.11128
Autor:
Kumar, Abhijeet, Yagodkin, Denis, Rosati, Roberto, Bock, Douglas J, Schattauer, Christoph, Tobisch, Sarah, Hagel, Joakim, Höfer, Bianca, Kirchhof, Jan N, López, Pablo Hernández, Burfeindt, Kenneth, Heeg, Sebastian, Gahl, Cornelius, Libisch, Florian, Malic, Ermin, Bolotin, Kirill I
Momentum-indirect excitons composed of electrons and holes in different valleys define optoelectronic properties of many semiconductors, but are challenging to detect due to their weak coupling to light. The identification of an excitons' valley char
Externí odkaz:
http://arxiv.org/abs/2312.07332
As machine learning technology gets applied to actual products and solutions, new challenges have emerged. Models unexpectedly fail to generalize to small changes in the distribution, tend to be confident on novel data they have never seen, or cannot
Externí odkaz:
http://arxiv.org/abs/2310.08215
Representation learning has significantly driven the field to develop pretrained models that can act as a valuable starting point when transferring to new datasets. With the rising demand for reliable machine learning and uncertainty quantification,
Externí odkaz:
http://arxiv.org/abs/2307.03810
Autor:
Yu, Yuefeng, Kirchhof, Jan N., Tsarapkin, Aleksei, Deinhart, Victor, Yucel, Oguzhan, Höfer, Bianca, Höflich, Katja, Bolotin, Kirill I.
Phononic crystals (PnCs) are artificially patterned media exhibiting bands of allowed and forbidden zones for phonons. Many emerging applications of PnCs from solid-state simulators to quantum memories could benefit from the on-demand tunability of t
Externí odkaz:
http://arxiv.org/abs/2305.09577
Autor:
Benjamin Bay, Marceline M. Fuh, Julia Rohde, Anna Worthmann, Alina Goßling, Natalie Arnold, Lukas Koester, Thiess Lorenz, Christopher Blaum, Paulus Kirchhof, Stefan Blankenberg, Moritz Seiffert, Fabian J. Brunner, Christoph Waldeyer, Joerg Heeren
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-13 (2024)
Abstract Background Lipids, including phospholipids and bile acids, exert various signaling effects and are thought to contribute to the development of coronary artery disease (CAD). Here, we aimed to compare lipidomic and bile acid profiles in the b
Externí odkaz:
https://doaj.org/article/a6229e4e270d4438b96d86ae2a432d50
Contrastively trained encoders have recently been proven to invert the data-generating process: they encode each input, e.g., an image, into the true latent vector that generated the image (Zimmermann et al., 2021). However, real-world observations o
Externí odkaz:
http://arxiv.org/abs/2302.02865
Autor:
Kirchhof, Jan N., Yu, Yuefeng, Yagodkin, Denis, Stetzuhn, Nele, de Araújo, Daniel B., Kanellopulos, Kostas, Manas-Valero, Samuel, Coronado, Eugenio, van der Zant, Herre, Reich, Stephanie, Schmid, Silvan, Bolotin, Kirill I.
Nanomechanical spectroscopy (NMS) is a recently developed approach to determine optical absorption spectra of nanoscale materials via mechanical measurements. It is based on measuring changes in the resonance frequency of a membrane resonator vs. the
Externí odkaz:
http://arxiv.org/abs/2301.12211