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SUMMARY:Inference of Latent Intrinsic Variables of Sequential Data
DTSTART:20170707T100000
DTEND:20170707T120000
DTSTAMP:20260916T201414Z
UID:8e5ab9c479e74752ae9c834dc49e8fd832b10a5d7140e43ee70dd965
CATEGORIES:Conferences - Seminars
DESCRIPTION:Beril Besbinar\nEDIC candidacy exam\nExam president: Prof. Fra
 nçois Fleuret\nThesis advisor: Prof. Pascal Frossard\nCo-examiner: Prof. 
 Martin Jaggi\n\nAbstract\n\nBackground papers\nManifold learning for laten
 t variable inference in dynamical systems\, IEEE TSP 2015.\nSequential Neu
 ral Models with Stochastic Layers\, NIPS 2016.\nVisual Dynamics: Probabili
 stic Future Frame Synthesis via Cross Convolutional Networks\, NIPS 2016.\
 n 
LOCATION:BC 04 https://plan.epfl.ch/?room==BC%2004
STATUS:CONFIRMED
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