Deep gaussian processes for calibration of computer models (with discussion)

HIGHLIGHTS

• who: Su00e9bastien Marmin and Maurizio Filippone from the (UNIVERSITY) have published the research: Deep Gaussian Processes for Calibration of Computer Models (with Discussion), in the Journal: (JOURNAL)
• what: The authors propose a novel calibration framework where these challenges are addressed by means of compositions of processes into Deep processes and scalable variational inference techniques. The authors show how the proposal yields a powerful alternative to the state-of-the-art by means of experimental validations on various calibration problems. While the koh model and inference make for an attractive and elegant framework to tackle quantification . . .
  

   

  

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