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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Leveraging topology\, geometry\, and symmetries for efficient Mach
 ine Learning
DTSTART:20220531T180000
DTSTAMP:20260917T153905Z
UID:213c87c4cc12c528c621f8e994e6cd659d1eb3ba10118e72d3e8e560
CATEGORIES:Thesis defenses
DESCRIPTION:Michaël DEFFERRARD\nThesis Director: Prof. P. Vandergheynst\,
 \nElectrical Engineering doctoral program\nThesis Nr. 7398\n\nTo take par
 t in the public defense\, please contact directly the speaker
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201
STATUS:CONFIRMED
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