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Truly intelligent systems are expected to make critical decisions with incomplete and uncertain data.
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He He, Paul Mineiro, and Nikos Karampatziakis · 2016
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Simple and scalable predictive uncertainty estimation using deep ensembles
Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2016
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Yarin Gal and Zoubin Ghahramani · 2016
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Masked autoregressive flow for density estimation
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Yang Song and Stefano Ermon · 2019
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Active feature acquisition with generative surrogate models
Yang Li and Junier B Oliva · 2020
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ACFlow: Flow models for arbitrary conditional likelihoods
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Experimental design for mri by greedy policy search
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Active deep probabilistic subsampling, 2021
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Multiscale score matching for out-of-distribution detection
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