MLSP-L6: Sparsity Aware Processing and Learning |
Session Type: Lecture |
Time: Thursday, 7 May, 11:30 - 13:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Danilo Comminiello, University of Rome |
MLSP-L6.1: OPTIMAL LAPLACIAN REGULARIZATION FOR SPARSE SPECTRAL COMMUNITY DETECTION |
Lorenzo Dall'Amico; GIPSA lab - Grenoble INP |
Romain Couillet; GIPSA lab - Grenoble INP |
Nicolas Tremblay; GIPSA lab - Grenoble INP |
MLSP-L6.2: ANOMALY DETECTION IN MIXED TIME-SERIES USING A CONVOLUTIONAL SPARSE REPRESENTATION WITH APPLICATION TO SPACECRAFT HEALTH MONITORING |
Barbara Pilastre; TéSA |
Gustavo Silva; Pontifica Universidad Catolica del Peru |
Loïc Boussouf; Airbus Defence and Space |
Stéphane D'Escrivan; CNES |
Paul Rodriguez; Pontifica Universidad Catolica del Peru |
Jean-Yves Tourneret; ENSEEIHT-IRIT/TéSA |
MLSP-L6.3: VARIATIONAL STUDENT: LEARNING COMPACT AND SPARSER NETWORKS IN KNOWLEDGE DISTILLATION FRAMEWORK |
Srinidhi Hegde; TCS Research |
Ranjitha Prasad; TCS Research |
Ramya Hebbalaguppe; TCS Research |
Vishwajeet Kumar; IIT Kharagpur |
MLSP-L6.4: LOW RANK ACTIVATIONS FOR TENSOR-BASED CONVOLUTIONAL SPARSE CODING |
Pierre Humbert; CMLA - École normale supérieure Paris-Saclay |
Julien Audiffren; CMLA - École normale supérieure Paris-Saclay |
Laurent Oudre; L2TI Universite Paris 13 |
Nicolas Vayatis; CMLA - École normale supérieure Paris-Saclay |