6 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.AS2021
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution
James King, Ramon Viñas Torné, Alexander Campbell +1
There have been several successful deep learning models that perform audio super-resolution. Many of these approaches involve using preprocessed feature extraction which requires a…
eess.SP2021
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
Lorena Qendro, Alexander Campbell, Pietro Liò +1
Electroencephalography (EEG) is crucial for the monitoring and diagnosis of brain disorders. However, EEG signals suffer from perturbations caused by non-cerebral artifacts limitin…
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…