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Sina Däubener
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 11
Top Topics
Sampling Strategies
Machine Learning Algorithms
Stochastic Model
Keyword Spotting
Top Venues
CoRR
ESANN
INTERSPEECH
ICDM
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Publications
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David Pape
,
Sina Däubener
,
Thorsten Eisenhofer
,
Antonio Emanuele Cinà
,
Lea Schönherr
On the Limitations of Model Stealing with Uncertainty Quantification Models.
CoRR
(2023)
Sina Däubener
,
Asja Fischer
How Sampling Impacts the Robustness of Stochastic Neural Networks.
CoRR
(2022)
Sina Däubener
,
Asja Fischer
How Sampling Impacts the Robustness of Stochastic Neural Networks.
NeurIPS
(2022)
Denis Lukovnikov
,
Sina Däubener
,
Asja Fischer
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing.
EMNLP (Findings)
(2021)
Arne P. Raulf
,
Sina Däubener
,
Ben Hack
,
Axel Mosig
,
Asja Fischer
SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations.
ESANN
(2021)
Florian Linsner
,
Linara Adilova
,
Sina Däubener
,
Michael Kamp
,
Asja Fischer
Approaches to Uncertainty Quantification in Federated Deep Learning.
PKDD/ECML Workshops (1)
(2021)
Sina Däubener
,
Lea Schönherr
,
Asja Fischer
,
Dorothea Kolossa
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification.
CoRR
(2020)
Sina Däubener
,
Lea Schönherr
,
Asja Fischer
,
Dorothea Kolossa
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification.
INTERSPEECH
(2020)
Sina Däubener
,
Asja Fischer
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification.
CoRR
(2020)
Sina Däubener
,
Sebastian Schmitt
,
Hao Wang
,
Peter Krause
,
Thomas Bäck
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
ICDM
(2019)
Markus Thill
,
Sina Däubener
,
Wolfgang Konen
,
Thomas Bäck
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks.
ITAT
(2019)