Fri, Nov 03, 2017 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Vincent Gripon, IMT Atlantique
Talk Title: Generalizing Convolutional Neural Networks to Graph Domains
Abstract: For the past few years, various works have aimed at tackling the problem of extending Convolutional Neural Networks (CNNs)to irregular domains. In this presentation, we propose to use graphs as an intermediate solution, thus deriving two subproblems: a) identifying a graph given a set of signals and b) defining CNN-like structures given
a graph domain. For both problems we introduce original approaches and discuss their performance.
Biography: Vincent Gripon is a permanent researcher with IMT-Atlantique (Institut Mines-Télécom), Brest, France. He obtained his M.S. from École Normale Supérieure of Cachan and his Ph.D. from Télécom Bretagne. His research interests lie at the intersection of information
theory, computer science and neural networks. He co-authored about 60 papers in the above-mentioned domains.
Host: Dr. Antonio Ortega
More Information: Vincent Gripon Seminar.pdf
Audiences: Everyone Is Invited
Contact: Gloria Halfacre