Mikkel Jordahn
4 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
deep ensemble
(2)
gaussian process
(2)
bayesian optimization
(2)
uncertainty quantification
(1)
model calibration
(1)
gaussian priors
(1)
variational training
(1)
surrogate model
(1)
bayesian neural network
(1)
uncertainty calibration
(1)
maximum a posteriori estimation
(1)
online training
(1)
neural network
(1)
classification layer
(1)
out-of-distribution metrics
(1)
variational inference
(1)
over-parametrized
(1)
feature extraction
(1)
calibration
(1)
Papers
Bayesian Optimization via Continual Variational Last Layer Training
ICLR 2025
On Local Posterior Structure in Deep Ensembles
AISTATS 2025
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
ICML 2024
On the role of model uncertainties in Bayesian optimisation
UAI 2023