9 citations · 9 across the 2 of their papers we have counts for
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cs.LG2019★ 9 cited
Graph Convolutional Gaussian Processes
Ian Walker, Ben Glocker
We propose a novel Bayesian nonparametric method to learn translation-invariant relationships on non-Euclidean domains. The resulting graph convolutional Gaussian processes can be…
cs.LG2018
Semi-Supervised Learning via Compact Latent Space Clustering
Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc +6
We present a novel cost function for semi-supervised learning of neural networks that encourages compact clustering of the latent space to facilitate separation. The key idea is to…