6 citations · 12 across the 4 of their papers we have counts for
4 papers
Learning in Deep Networks under Dale's Constraint
Roy Abel, Shimon Ullman
Biologically plausible learning models aim to explain how neural circuits can implement effective learning under the constraints of real neurons. Although significant progress has…
Biologically-Motivated Learning Model for Instructed Visual Processing
Roy Abel, Shimon Ullman
As part of understanding how the brain learns, ongoing work seeks to combine biological knowledge and current artificial intelligence (AI) modeling in an attempt to find an efficie…
Topological based classification using graph convolutional networks
Roy Abel, Idan Benami, Yoram Louzoun
In colored graphs, node classes are often associated with either their neighbors class or with information not incorporated in the graph associated with each node. We here propose…
Regional based query in graph active learning
Roy Abel, Yoram Louzoun
Graph convolution networks (GCN) have emerged as the leading method to classify node classes in networks, and have reached the highest accuracy in multiple node classification task…