Articles with public access mandates - Sina DäubenerLearn more
Available somewhere: 5
Approaches to uncertainty quantification in federated deep learning
F Linsner, L Adilova, S Däubener, M Kamp, A Fischer
Machine Learning and Principles and Practice of Knowledge Discovery in …, 2022
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing
D Lukovnikov, S Daubener, A Fischer
Findings of the Association for Computational Linguistics: EMNLP 2021, 591-598, 2021
Mandates: German Research Foundation
How Sampling Impacts the Robustness of Stochastic Neural Networks
S Däubener, A Fischer
arXiv preprint arXiv:2204.10839, 2022
Mandates: German Research Foundation
SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations.
AP Raulf, S Däubener, B Hack, A Mosig, A Fischer
ESANN, 2021
Mandates: German Research Foundation
Uncertainty quantification with compound density networks
A Kristiadi, S Däubener, A Fischer
Proc. 4th Workshop Bayesian Deep Learn. NeurIPS, 2019
Mandates: German Research Foundation
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