16 citations · 28 across the 13 of their papers we have counts for
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cs.NE2019★ 3 cited
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions
Andrew Hryniowski, Alexander Wong
From fully connected neural networks to convolutional neural networks, the learned parameters within a neural network have been primarily relegated to the linear parameters (e.g.,…
cs.NE2019★ 1 cited
State of Compact Architecture Search For Deep Neural Networks
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li +2
The design of compact deep neural networks is a crucial task to enable widespread adoption of deep neural networks in the real-world, particularly for edge and mobile scenarios. Du…
cs.NE2018
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations
Andrew Hryniowski, Alexander Wong
Automated deep neural network architecture design has received a significant amount of recent attention. However, this attention has not been equally shared by one of the fundament…