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Uncertainty quantification for trustworthy deep learning: Methods and measures
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
A research survey reviews methods for Uncertainty Quantification (UQ) in deep learning, focusing on ensemble and approximate Bayesian approaches.
Open sourceOneBench interpretation
Institutional assessment
So what
Robust uncertainty quantification is critical for deploying deep learning models in safety-critical financial domains.
Do what
Add this survey to the model risk research backlog for review by your validation and responsible AI teams.