Technical Program

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Location: Salle Fort Royal
 
Sunday, December 15
09:30 - 12:30
Tutorial T1: Beyond Massive MIMO – New Concepts and Signal Processing Salle Fort Royal
15:00 - 18:00
Tutorial T2: Connecting the Dots: Identifying Network Structure of Complex Data via Graph Signal Processing Salle Fort Royal
 
Monday, December 16
09:00 - 09:55
Plenary Plenary Talk: Ananthram Swami Salle Fort Royal
10:20 - 12:20
SS MM1: The Intersection of Optimization Theory and Information Processing Salle Fort Royal
15:00 - 16:40
SS MN1: Principles of Dynamics and Control in Machine Learning Salle Fort Royal
17:00 - 18:40
SS MA1: Distributed Learning and Optimization over Networks Salle Fort Royal
 
Tuesday, December 17
09:00 - 09:55
Plenary Michael Elad - Sparse Modelling of Data and its Relation to Deep Learning Salle Fort Royal
10:20 - 12:20
SS TM1: Learning over Graphs Salle Fort Royal
15:00 - 15:55
Plenary Plenary Talk: René Vidal Salle Fort Royal
16:00 - 17:20
SS TN1: Mathematical Foundations of Deep Learning Salle Fort Royal
17:45 - 19:45
SS TA1: Large Random Matrix Theory in Signal Processing and Machine Learning Salle Fort Royal
 
Wednesday, December 18
09:00 - 09:55
Plenary Plenary Talk: Ken Ma Salle Fort Royal
10:20 - 12:20
SS WM1: Structured Matrix and Tensor Methods Salle Fort Royal
15:00 - 15:55
Plenary Plenary Talk: Patrice Abry Salle Fort Royal
16:00 - 17:20
SS WN1: Scale-Free and Nonlinear Multivariate Signal and Image Analysis Salle Fort Royal
17:45 - 19:45
SS WA1: Machine Learning and Applications to Radar and Array Processing Salle Fort Royal