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SUMMARY:Experimental Design in the Age of GenAI    - Henry Moss (La
 ncaster University)
DTSTART:20250828T143000Z
DTEND:20250828T150000Z
UID:TALK234523@talks.cam.ac.uk
DESCRIPTION:Generative AI stands to revolutionize how experiments are conc
 eived\, orchestrated\, and iterated. This talk outlines a general framewor
 k that can harness generative AI within experimental design loops\, then e
 xamines the widely adopted approach of Latent Space Bayesian Optimization.
  Our proposed methodology diverges from conventional frameworks by decoupl
 ing the discriminative (surrogate) and generative models\, rather than tig
 htly integrating Gaussian Processes with Variational Autoencoders. Through
  independent training and a straightforward Bayesian update\, we enable an
  efficient sampling strategy that identifies candidate experiments with hi
 gh scores.
LOCATION:Seminar Room 1\, Newton Institute
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