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Bernhard Mehlig
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2020 – today
- 2024
- [c3]Jessica B. Heluany
, Johannes Götzfried
Vulnerability management digital twin for energy systems. ARES 2024: 102:1-102:11 - 2023
- [j3]Hampus Linander
Looking at the posterior: accuracy and uncertainty of neural-network predictions. Mach. Learn. Sci. Technol. 4(4): 45032 (2023) - [c2]Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander:
Bayesian Posterior Approximation With Stochastic Ensembles. CVPR 2023: 13701-13711 - [i6]L. Storm, Hampus Linander
Finite-time Lyapunov exponents of deep neural networks. CoRR abs/2306.12548 (2023) - 2022
- [j2]L. Storm, Kristian Gustavsson, Bernhard Mehlig:
Constraints on parameter choices for successful time-series prediction with echo-state networks. Mach. Learn. Sci. Technol. 3(4): 45021 (2022) - [c1]Sami Jaghouar, Hannes Gustafsson, Bernhard Mehlig, Erik Werner, Niklas Gustafsson:
Improving Traffic Sign Recognition by Active Search. GCPR 2022: 594-606 - [i5]L. Storm, Kristian Gustavsson, Bernhard Mehlig:
Constraints on parameter choices for successful reservoir computing. CoRR abs/2206.02575 (2022) - [i4]Hampus Linander
Looking at the posterior: on the origin of uncertainty in neural-network classification. CoRR abs/2211.14605 (2022) - [i3]Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander
Bayesian posterior approximation with stochastic ensembles. CoRR abs/2212.08123 (2022) - 2021
- [i2]Sami Jaghouar, Hannes Gustafsson, Bernhard Mehlig, Erik Werner, Niklas Gustafsson:
Improving traffic sign recognition by active search. CoRR abs/2111.14426 (2021) - 2020
- [j1]Frank Cichos
Machine learning for active matter. Nat. Mach. Intell. 2(2): 94-103 (2020)
2010 – 2019
- 2019
- [i1]Bernhard Mehlig:
Artificial Neural Networks. CoRR abs/1901.05639 (2019)
Coauthor Index
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