Shuyu Lin

Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schonborn, Niki Trigoni, Stephen Roberts

International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

paper, github

We propose a VAE-LSTM hybrid model as an unsupervised approach for anomaly detection in time series.

Shuyu Lin, Stephen Roberts, Niki Trigoni, Ronald Clark

arxiv preprint, 2019

arxiv, bibtex

A principled approach for balancing the reconstruction-regularisation tradeoff in VAE models with a Gaussian decoder. Sensible uncertainty estimate on the generated samples is produced.

Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen Roberts

International Conference on Learning Representations (ICLR) Deep Generative Models Workshop, 2019

arxiv, bibtex

We consider an auto-encoding process w.r.t. the entire dataset, instead of a sample-wise auto-encoding process. We demonstrate that the representation (latent embedding) learnt under such procedure has enhanced reconstruction quality.