1 code implementation • 1 Apr 2022 • Chris U. Carmona, Geoff K. Nicholls
First, we give variational methods for approximating the Cut and SMI posteriors which are adapted to the inferential goals of evidence combination.
1 code implementation • 16 Jul 2021 • Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus
We introduce Neural Contextual Anomaly Detection (NCAD), a framework for anomaly detection on time series that scales seamlessly from the unsupervised to supervised setting, and is applicable to both univariate and multivariate time series.