Technical Program

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MLSP-L9: Autoencoders

Session Type: Lecture
Time: Friday, 8 May, 08:00 - 10:00
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Piya Pal, University of California, San Diego
 
 MLSP-L9.1: CONTINUAL LEARNING THROUGH ONE-CLASS CLASSIFICATION USING VAE
         Felix Wiewel; University of Stuttgart
         Andreas Brendle; University of Stuttgart
         Bin Yang; University of Stuttgart
 
 MLSP-L9.2: ESTIMATION OF POST-NONLINEAR CAUSAL MODELS USING AUTOENCODING STRUCTURE
         Kento Uemura; Fujitsu Laboratories Ltd.
         Shohei Shimizu; Shiga University
 
 MLSP-L9.3: FROM SYMBOLS TO SIGNALS: SYMBOLIC VARIATIONAL AUTOENCODERS
         Chinmaya Devaraj; University of Maryland
         Aritra Chowdhury; GE Research
         Arpit Jain; GE Research
         James Kubricht; GE Research
         Tu Peter; GE Research
         Alberto Santamaria-Pang; GE Research
 
 MLSP-L9.4: GRAPH AUTO-ENCODER FOR GRAPH SIGNAL DENOISING
         Tien Huu Do; Vrije Universiteit Brussel
         Minh Duc Nguyen; Vrije Universiteit Brussel
         Nikos Deligiannis; Vrije Universiteit Brussel
 
 MLSP-L9.5: A PRIORI ESTIMATES OF THE GENERALIZATION ERROR FOR AUTOENCODERS
         Zehao Dou; Peking University
         Weinan E; Princeton University
         Chao Ma; Princeton University