Search Results for author: Chris U. Carmona

Found 2 papers, 2 papers with code

Scalable Semi-Modular Inference with Variational Meta-Posteriors

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.

Bayesian Inference Meta-Learning

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Neural Contextual Anomaly Detection for Time Series

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.

Contextual Anomaly Detection Representation Learning +2

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Code

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