1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
Developing trustworthy AI applications with foundation models
Michael Mock, Sebastian Schmidt, Felix Müller +6
The trustworthiness of AI applications has been the subject of recent research and is also addressed in the EU's recently adopted AI Regulation. The currently emerging foundation m…
cs.LG2022★ 1 cited
A Survey on Uncertainty Toolkits for Deep Learning
Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin +1
The success of deep learning (DL) fostered the creation of unifying frameworks such as tensorflow or pytorch as much as it was driven by their creation in return. Having common bui…