16 citations · 66 across the 13 of their papers we have counts for
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3 papers · 1 filter
cs.NE2017★ 8 cited
Time Series Compression Based on Adaptive Piecewise Recurrent Autoencoder
Daniel Hsu
Time series account for a large proportion of the data stored in financial, medical and scientific databases. The efficient storage of time series is important in practical applica…
cs.LG2017★ 5 cited
Anomaly Detection on Graph Time Series
Daniel Hsu
In this paper, we use variational recurrent neural network to investigate the anomaly detection problem on graph time series. The temporal correlation is modeled by the combination…
cs.NE2017★ 16 cited
Multi-period Time Series Modeling with Sparsity via Bayesian Variational Inference
Daniel Hsu
In this paper, we use augmented the hierarchical latent variable model to model multi-period time series, where the dynamics of time series are governed by factors or trends in mul…