2 citations · 3 across the 9 of their papers we have counts for
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cs.LG2019
Dynamic Time Warp Convolutional Networks
Yaniv Shulman
Where dealing with temporal sequences it is fair to assume that the same kind of deformations that motivated the development of the Dynamic Time Warp algorithm could be relevant al…
stat.ML2019★ 2 cited
Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models
Yaniv Shulman
A method for unsupervised contextual anomaly detection is proposed using a cross-linked pair of Variational Auto-Encoders for assigning a normality score to an observation. The met…