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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Evaluating and Interpreting Deep Convolutional Neural Networks via
  Non-negative Matrix Factorization
DTSTART:20190621T180000
DTSTAMP:20260407T014836Z
UID:d4cb260fe500b118b6a93ae3bfa093426f53d38365bdfd3b26740999
CATEGORIES:Thesis defenses
DESCRIPTION:Edo COLLINS\nThesis Director: Prof. S. Süsstrunk\nComputer an
 d Communication Sciences doctoral program\nThesis Nr. 9372
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR