Search Results for author:
Found 5 papers, 0 papers with code
Hyperdimensional Computing with Spiking-Phasor Neurons
Vector Symbolic Architectures (VSAs) are a powerful framework for representing compositional reasoning.
Making Predictive Coding Networks Generative
This paper studies this phenomenon, and proposes a simple solution that promotes the generation of input samples that resemble the training inputs.
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming
Neuro-encoded expression programming(NEEP) that aims to offer a novel continuous representation of combinatorial encoding for genetic programming methods is proposed in this paper.
Style Memory: Making a Classifier Network Generative
We introduce a network that has the capacity to do both classification and reconstruction by adding a "style memory" to the output layer of the network.
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care and treatment of patients.
