Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation

1 code implementation • 6 Jan 2021 • Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo

We propose a new 'Bi-Reduced Space' approach to solving 3D Variational Data Assimilation using Convolutional Autoencoders.

Empirical Evaluation of Deep Learning Model Compression Techniques on the WaveNet Vocoder

1 code implementation • 20 Nov 2020 • Sam Davis, Giuseppe Coccia, Sam Gooch, Julian Mack

WaveNet is a state-of-the-art text-to-speech vocoder that remains challenging to deploy due to its autoregressive loop.

Model Compression Quantization