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SUMMARY:Learning Regularization for Inverse Problems\, Take 2 - Eldad Habe
 r (University of British Columbia)
DTSTART:20230427T103000Z
DTEND:20230427T113000Z
UID:TALK198436@talks.cam.ac.uk
DESCRIPTION:The idea of using learning techniques for inverse problems is 
 not new\, and is strongly connected to the area of empirical Baye's.\nHowe
 ver\, in the last few years new techniques have emerged that enebale us to
  learn from a vast amout of a-priori data. In this talk we will review the
  field\, the new methods and the challenges the field is facing. We also p
 ropose new regularization functionals that are easy to learn and use.
LOCATION:Seminar Room 1\, Newton Institute
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