Shuyu Lin — accepted AI-conference papers

2022

Uncertainty Estimation with a VAE-Classifier Hybrid Model

Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts

ICASSP 2022accepted

We propose a hybrid model that combines a generative unit and a discriminative classifier to quantify uncertainty in a classification task. The representation learning capability in the VAE module allows our method to learn more useful and generalizable features and outperform other purely discrimin…

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2020

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model

Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts

ICASSP 2020accepted

In this work, we propose a VAE-LSTM hybrid model as an unsupervised approach for anomaly detection in time series. Our model utilizes both a VAE module for forming robust local features over short windows and a LSTM module for estimating the long term correlation in the series on top of the features…

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