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cs.LG2020★ 18 cited
Anomaly Detection with Tensor Networks
Jinhui Wang, Chase Roberts, Guifre Vidal +1
Originating from condensed matter physics, tensor networks are compact representations of high-dimensional tensors. In this paper, the prowess of tensor networks is demonstrated on…
cs.LG2018
Arbitrary Discrete Sequence Anomaly Detection with Zero Boundary LSTM
Chase Roberts, Manish Nair
We propose a simple mathematical definition and new neural architecture for finding anomalies within discrete sequence datasets. Our model comprises of a modified LSTM autoencoder…