Bernhard Mehlig

12 papers A* 1B 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2024 B conf
Vulnerability management digital twin for energy systems.
ARES
Jessica B. Heluany, Johannes Götzfried, Bernhard Mehlig, Vasileios Gkioulos
2023 A* conf
Bayesian Posterior Approximation With Stochastic Ensembles.
CVPR
Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander
2023 J jnl
Finite-time Lyapunov exponents of deep neural networks.
CoRR
L. Storm, Hampus Linander, J. Bec, Kristian Gustavsson, Bernhard Mehlig
2023 J jnl
Looking at the posterior: accuracy and uncertainty of neural-network predictions.
Mach. Learn. Sci. Technol.
Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig
2022 J jnl
Bayesian posterior approximation with stochastic ensembles.
CoRR
Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander
2022 J jnl
Constraints on parameter choices for successful reservoir computing.
CoRR
L. Storm, Kristian Gustavsson, Bernhard Mehlig
2022 J jnl
Constraints on parameter choices for successful time-series prediction with echo-state networks.
Mach. Learn. Sci. Technol.
L. Storm, Kristian Gustavsson, Bernhard Mehlig
2022 — conf
Improving Traffic Sign Recognition by Active Search.
GCPR
Sami Jaghouar, Hannes Gustafsson, Bernhard Mehlig, Erik Werner, Niklas Gustafsson
2022 J jnl
Looking at the posterior: on the origin of uncertainty in neural-network classification.
CoRR
Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig
2021 J jnl
Improving traffic sign recognition by active search.
CoRR
Sami Jaghouar, Hannes Gustafsson, Bernhard Mehlig, Erik Werner, Niklas Gustafsson
2020 J jnl
Machine learning for active matter.
Nat. Mach. Intell.
Frank Cichos, Kristian Gustavsson, Bernhard Mehlig, Giovanni Volpe
2019 J jnl
Artificial Neural Networks.
CoRR
Bernhard Mehlig