7 citations · 7 across the 3 of their papers we have counts for
3 papers
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization
Philipp Wagner, Tobias Nagel, Philipp Leube +1
Correctly setting the parameters of a production machine is essential to improve product quality, increase efficiency, and reduce production costs while also supporting sustainabil…
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Danilo Brajovic, Niclas Renner, Vincent Philipp Goebels +7
Despite large progress in Explainable and Safe AI, practitioners suffer from a lack of regulation and standards for AI safety. In this work we merge recent regulation efforts by th…
Kalman Bayesian Neural Networks for Closed-form Online Learning
Philipp Wagner, Xinyang Wu, Marco F. Huber
Compared to point estimates calculated by standard neural networks, Bayesian neural networks (BNN) provide probability distributions over the output predictions and model parameter…