Zobrazeno 1 - 10
of 5 205
pro vyhledávání: '"A. Stöger"'
Autor:
Roman, Marta, Di Cataldo, Simone, Stöger, Berthold, Reisinger, Lisa, Morineau, Emilie, Kolincio, Kamil K., Michor, Herwig
Charge density wave (CDW) orders in YNiC2 are studied by means of combined experimental and computational techniques. On the experimental side, single crystals grown by the floating-zone method were examined by means of X-ray diffraction, as well as
Externí odkaz:
http://arxiv.org/abs/2411.02154
Autor:
Stöger, Dominik, Zhu, Yizhe
For the problem of reconstructing a low-rank matrix from a few linear measurements, two classes of algorithms have been widely studied in the literature: convex approaches based on nuclear norm minimization, and non-convex approaches that use factori
Externí odkaz:
http://arxiv.org/abs/2408.13276
Autor:
Kirschbaum, D. M., Yan, X., Waas, M., Svagera, R., Prokofiev, A., Stöger, B., Giester, G., Rogl, P., Oprea, D. -G., Felser, C., Valentí, R., Vergniory, M. G., Custers, J., Paschen, S., Zocco, D. A.
Publikováno v:
Phys. Rev. Research 6, 023242 (2024)
The family of cubic noncentrosymmetric 3-4-3 compounds has become a fertile ground for the discovery of novel correlated metallic and insulating phases. Here, we report the synthesis of a new heavy fermion compound, Ce$_3$Bi$_4$Ni$_3$. It is an isoel
Externí odkaz:
http://arxiv.org/abs/2311.17903
Empirical studies have widely demonstrated that neural networks are highly sensitive to small, adversarial perturbations of the input. The worst-case robustness against these so-called adversarial examples can be quantified by the Lipschitz constant
Externí odkaz:
http://arxiv.org/abs/2311.01356
In this work, we analyze the relation between reparametrizations of gradient flow and the induced implicit bias in linear models, which encompass various basic regression tasks. In particular, we aim at understanding the influence of the model parame
Externí odkaz:
http://arxiv.org/abs/2308.04921
Recently, there has been significant progress in understanding the convergence and generalization properties of gradient-based methods for training overparameterized learning models. However, many aspects including the role of small random initializa
Externí odkaz:
http://arxiv.org/abs/2303.14244
In this paper, we study the problem of recovering two unknown signals from their convolution, which is commonly referred to as blind deconvolution. Reformulation of blind deconvolution as a low-rank recovery problem has led to multiple theoretical re
Externí odkaz:
http://arxiv.org/abs/2303.10030
Publikováno v:
EPTCS 375, 2023, pp. 92-111
The paper collects preparatory work for interdisciplinary collaboration between three partners, between (1) expertise in improving accessibility of studies for impaired individuals, (2) expertise in developing educational mathematics software and (3)
Externí odkaz:
http://arxiv.org/abs/2303.05868
Ostracism and suggestibility: how temporary cognitive deficits drive suggestibility after ostracism.
Autor:
Pfundmair, Michaela1,2 (AUTHOR) michaela.pfundmair@hsbund-nd.de, Stöger, Lisa-Marie1 (AUTHOR), Steffens, Christine2 (AUTHOR)
Publikováno v:
Journal of Social Psychology. 2024, Vol. 164 Issue 6, p896-912. 17p.
A common approach for compressing large-scale data is through matrix sketching. In this work, we consider the problem of recovering low-rank matrices from two noisy linear sketches using the double sketching scheme discussed in Fazel et al. (2008), w
Externí odkaz:
http://arxiv.org/abs/2206.00803