Search Results for author: Alexander Geiger

Found 2 papers, 1 papers with code

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

5 code implementations16 Sep 2020 Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

However, detecting anomalies in time series data is particularly challenging due to the vague definition of anomalies and said data's frequent lack of labels and highly complex temporal correlations.

Benchmarking Time Series +2

Adversarially learned anomaly detection for time series data

no code implementations25 Sep 2019 Alexander Geiger, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Based on the recent developments in adversarially learned models, we propose a new approach for anomaly detection in time series data.

Anomaly Detection Time Series +1

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