2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-9: Learning Theory for Neural Networks

Session Type: Poster
Time: Tuesday, 8 June, 16:30 - 17:15
Location: Gather.Town
 
MLSP-9.1: A BAYESIAN INTERPRETATION OF THE LIGHT GATED RECURRENT UNIT
         Alexandre Bittar; Idiap Research Institute
         Philip Garner; Idiap Research Institute
 
MLSP-9.2: A LARGE-DIMENSIONAL ANALYSIS OF SYMMETRIC SNE
         Charles Séjourné; GIPSA-Lab, University Grenoble Alpes
         Romain Couillet; GIPSA-Lab, University Grenoble Alpes
         Pierre Comon; GIPSA-Lab, University Grenoble Alpes
 
MLSP-9.3: A DYNAMICAL SYSTEMS PERSPECTIVE ON ONLINE BAYESIAN NONPARAMETRIC ESTIMATORS WITH ADAPTIVE HYPERPARAMETERS
         Alec Koppel; US Army Research Laboratory
         Amrit Singh Bedi; US Army Research Laboratory
         Vikram Krishnamurthy; Cornell University
 
MLSP-9.4: ONLINE MULTI-HOP INFORMATION BASED KERNEL LEARNING OVER GRAPHS
         Zixiao Zong; University of California, Irvine
         Yanning Shen; University of California, Irvine
 
MLSP-9.5: SPARSITY IN MAX-PLUS ALGEBRA AND APPLICATIONS IN MULTIVARIATE CONVEX REGRESSION
         Nikos Tsilivis; National Technical University of Athens
         Anastasios Tsiamis; University of Pennsylvania
         Petros Maragos; National Technical University of Athens
 
MLSP-9.6: COMPLEX-VALUED VS. REAL-VALUED NEURAL NETWORKS FOR CLASSIFICATION PERSPECTIVES: AN EXAMPLE ON NON-CIRCULAR DATA
         Jose Agustin Barrachina; ONERA/CentraleSupelec
         Chengfang Ren; ONERA/CentraleSupelec
         Christele Morisseau; ONERA
         Gilles Vieillard; ONERA
         Jean-Philippe Ovarlez; ONERA/CentraleSupelec