Zobrazeno 1 - 10
of 447
pro vyhledávání: '"BÖHM, CHRISTIAN"'
Berry phases offer a geometric perspective on wave propagation and are key to designing materials with topological wave transport. However, controlling Berry phases is challenging due to their dependence on global integrals over the Brillouin zone, m
Externí odkaz:
http://arxiv.org/abs/2410.08312
Autor:
Beer, Anna, Weber, Pascal, Miklautz, Lukas, Leiber, Collin, Durani, Walid, Böhm, Christian, Plant, Claudia
Detecting arbitrarily shaped clusters in high-dimensional noisy data is challenging for current clustering methods. We introduce SHADE (Structure-preserving High-dimensional Analysis with Density-based Exploration), the first deep clustering algorith
Externí odkaz:
http://arxiv.org/abs/2410.06265
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) (pp. 109-117). Society for Industrial and Applied Mathematics
Over the last decade, the Dip-test of unimodality has gained increasing interest in the data mining community as it is a parameter-free statistical test that reliably rates the modality in one-dimensional samples. It returns a so called Dip-value and
Externí odkaz:
http://arxiv.org/abs/2312.12050
Publikováno v:
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM) (pp. 226-234). Society for Industrial and Applied Mathematics
High-dimensional datasets often contain multiple meaningful clusterings in different subspaces. For example, objects can be clustered either by color, weight, or size, revealing different interpretations of the given dataset. A variety of approaches
Externí odkaz:
http://arxiv.org/abs/2312.11952
Anomaly detection in imbalanced datasets is a frequent and crucial problem, especially in the medical domain where retrieving and labeling irregularities is often expensive. By combining the generative stability of a $\beta$-variational autoencoder (
Externí odkaz:
http://arxiv.org/abs/2310.18091
Autor:
Sesa, Mahmoud, Holthusen, Hagen, Lamm, Lukas, Böhm, Christian, Brepols, Tim, Jockenhövel, Stefan, Reese, Stefanie
The development of tissue-engineered cardiovascular implants can improve the lives of large segments of our society who suffer from cardiovascular diseases. Regenerative tissues are fabricated using a process called tissue maturation. Furthermore, it
Externí odkaz:
http://arxiv.org/abs/2307.12439
Although deep neural networks have shown well-performance in various tasks, the poor interpretability of the models is always criticized. In the paper, we propose a new interpretable neural network method, by embedding neurons into the semantic space
Externí odkaz:
http://arxiv.org/abs/2211.07647
Autor:
Miklautz, Lukas, Teuffenbach, Martin, Weber, Pascal, Perjuci, Rona, Durani, Walid, Böhm, Christian, Plant, Claudia
The field of deep clustering combines deep learning and clustering to learn representations that improve both the learned representation and the performance of the considered clustering method. Most existing deep clustering methods are designed for a
Externí odkaz:
http://arxiv.org/abs/2210.07063