David Moens
4 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Artificial Intelligence
(3)
Machine Learning
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Optimization & Theory
(2)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
credal set
(4)
deep ensemble
(3)
out-of-distribution detection
(3)
uncertainty quantification
(2)
epistemic uncertainty
(2)
uncertainty estimation
(1)
bayesian neural network
(1)
calibration error
(1)
neural network ensemble
(1)
expected calibration error
(1)
posterior parameter distribution
(1)
model compression
(1)
second-order representation
(1)
ensemble learning
(1)
selective prediction
(1)
distributionally robust optimization
(1)
ensemble distillation
(1)
Papers
Credal Ensemble Distillation for Uncertainty Quantification
AAAI 2026
Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study
UAI 2026
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
ICLR 2025
Credal Deep Ensembles for Uncertainty Quantification
NeurIPS 2024