most citedtvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2023

DBGDGM: Dynamic Brain Graph Deep Generative Model

Alexander Campbell, Simeon Spasov, Nicola Toschi +1

Graphs are a natural representation of brain activity derived from functional magnetic imaging (fMRI) data. It is well known that clusters of anatomical brain regions, known as fun…

cs.LG2020★ 6 cited

tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder

Alex Campbell, Pietro Liò

Variational autoencoders (VAEs) are a powerful class of deep generative latent variable model for unsupervised representation learning on high-dimensional data. To ensure computati…