11 citations · 16 across the 3 of their papers we have counts for
4 papers · 1 filter
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center
Amin Ghafourian, Huanyi Shui, Devesh Upadhyay +3
Autoencoders have been extensively used in the development of recent anomaly detection techniques. The premise of their application is based on the notion that after training the a…
Anomaly Detection with Domain Adaptation
Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
We study the problem of semi-supervised anomaly detection with domain adaptation. Given a set of normal data from a source domain and a limited amount of normal examples from a tar…
Memory Augmented Generative Adversarial Networks for Anomaly Detection
Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi +1
In this paper, we present a memory-augmented algorithm for anomaly detection. Classical anomaly detection algorithms focus on learning to model and generate normal data, but typica…
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection
Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
In this paper, we investigate algorithms for anomaly detection. Previous anomaly detection methods focus on modeling the distribution of non-anomalous data provided during training…