Targeted collapse regularized autoencoder for anomaly detection: black hole at the center

no code implementations • 22 Jun 2023 • Amin Ghafourian, Huanyi Shui, Devesh Upadhyay, Rajesh Gupta, Dimitar Filev, Iman Soltani Bozchalooi

In practice, however, it is observed that autoencoders can generalize beyond the normal class and achieve a small reconstruction error on some of the anomalous samples.

Anomaly Detection

Anomaly Detection with Domain Adaptation

no code implementations • 5 Jun 2020 • Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve

We study the problem of semi-supervised anomaly detection with domain adaptation.

Domain Adaptation Object Recognition +2

Memory Augmented Generative Adversarial Networks for Anomaly Detection

no code implementations • 7 Feb 2020 • Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve

Decoded memory units in MEMGAN are more interpretable and disentangled than previous methods, which further demonstrates the effectiveness of the memory mechanism.

Anomaly Detection

Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection

no code implementations • 18 Jan 2020 • Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve

In this paper, we investigate algorithms for anomaly detection.

Anomaly Detection Generative Adversarial Network