What is recorded here?
Combines independent neural predictors trained with probabilistic losses, optional adversarial smoothing and learned regression variance into a uniform predictive mixture for uncertainty estimation.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Original DeepMind uncertainty recipe, not invention of ensembles, proper scoring rules or Gaussian variance prediction. Reported calibration/OOD behavior is empirical, not exact Bayesian sampling or a universal coverage certificate. Ensemble compute and storage remain.
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People and systems
Balaji Lakshminarayanan; Alexander Pritzel; Charles Blundell
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Deep Ensembles: predictive mixtures of independently trained networks
Combines independent neural predictors trained with probabilistic losses, optional adversarial smoothing and learned regression variance into a uniform predictive mixture for uncertainty estimation.
Scientific scope
Original DeepMind uncertainty recipe, not invention of ensembles, proper scoring rules or Gaussian variance prediction. Reported calibration/OOD behavior is empirical, not exact Bayesian sampling or a universal coverage certificate. Ensemble compute and storage remain.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Balaji Lakshminarayanan; Alexander Pritzel; Charles Blundell
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.