Zobrazeno 1 - 10
of 4 043
pro vyhledávání: '"Baumann, A. F."'
Publikováno v:
Phys. Rev. Materials 8, 095401 (2024)
Mechanical stresses and strains in the microstructure of cathode materials evolving during charge/discharge cycles can reduce the long-term stability of intercalation-type alkali-metal-ion batteries. In this context, crystalline compounds exhibiting
Externí odkaz:
http://arxiv.org/abs/2406.16677
Autor:
Kook, Lucas, Kolb, Chris, Schiele, Philipp, Dold, Daniel, Arpogaus, Marcel, Fritz, Cornelius, Baumann, Philipp F., Kopper, Philipp, Pielok, Tobias, Dorigatti, Emilio, Rügamer, David
Neural network representations of simple models, such as linear regression, are being studied increasingly to better understand the underlying principles of deep learning algorithms. However, neural representations of distributional regression models
Externí odkaz:
http://arxiv.org/abs/2405.05429
Publikováno v:
Physical Review B 108, 165140 (2023)
A main source of capacity fading in lithium-ion batteries is the degradation of the active cathode materials caused by the series of volume changes during charge and discharge cycles. The quaternary colquiriite-type fluorides Li$_x$CaFeF$\mathrm{_6}$
Externí odkaz:
http://arxiv.org/abs/2306.17029
Probabilistic forecasting of time series is an important matter in many applications and research fields. In order to draw conclusions from a probabilistic forecast, we must ensure that the model class used to approximate the true forecasting distrib
Externí odkaz:
http://arxiv.org/abs/2110.08248
Autor:
Baumann, Dianne F.
Publikováno v:
Journal of Ethnic and Cultural Studies, 2023 Jan 01. 10(4), 1-12.
Externí odkaz:
https://www.jstor.org/stable/48754823
While Transformer architectures have show remarkable success, they are bound to the computation of all pairwise interactions of input element and thus suffer from limited scalability. Recent work has been successful by avoiding the computation of the
Externí odkaz:
http://arxiv.org/abs/2102.07680
Autor:
Kim, Sung Ho, Visser, Ate, Catarineu, Noelle R., Bantug, Aaron B., Pang, Simon H., Garenne, Alexandre, Oerter, Erik J., Baumann, Theodore F., Heffner, Michael, Sangiorgio, Samuele
Publikováno v:
In Microporous and Mesoporous Materials 15 February 2024 366
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2021
Learning the cumulative distribution function (CDF) of an outcome variable conditional on a set of features remains challenging, especially in high-dimensional settings. Conditional transformation models provide a semi-parametric approach that allows
Externí odkaz:
http://arxiv.org/abs/2010.07860
This work addresses the problem of conducting valid inference for additive and linear mixed models after model selection. One possible solution to overcome overconfident inference results after model selection is selective inference, which constitute
Externí odkaz:
http://arxiv.org/abs/2007.07930
We analyze the forces that explain inflation using a panel of 122 countries from 1997 to 2015 with 37 regressors. 98 models motivated by economic theory are compared to a gradient boosting algorithm, non-linearities and structural breaks are consider
Externí odkaz:
http://arxiv.org/abs/2006.06274