Sina Däubener
4 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Top co-authors
Research topics
Artificial Intelligence
(3)
Machine Learning
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Machine Learning
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Speech & Audio
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Linguistics
(1)
Optimization & Theory · Deep Learning
(1)
Recognition
(1)
Keywords
uncertainty quantification
(3)
out-of-distribution detection
(2)
bayesian neural network
(2)
sample complexity
(1)
automatic speech recognition
(1)
compositional generalization
(1)
acoustic model
(1)
adversarial attack
(1)
adversarial example
(1)
gradient variance
(1)
evidence lower bound
(1)
stochastic neural network
(1)
deep ensemble
(1)
predictive uncertainty
(1)
one-class classification
(1)
monte carlo dropout
(1)
neural network
(1)
prediction robustness
(1)
heterogeneous ensemble
(1)
adversarial robustness
(1)
Papers
ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks
UAI 2025
How Sampling Impacts the Robustness of Stochastic Neural Networks
NeurIPS 2022
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing
EMNLP 2021
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
Interspeech 2020