Asynchronous Graph Generator

no code implementations • 29 Sep 2023 • Christopher P. Ley, Felipe Tobar

We introduce the asynchronous graph generator (AGG), a novel graph attention network for imputation and prediction of multi-channel time series.

Data Augmentation Graph Attention +2

Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection

no code implementations • 5 Dec 2022 • Christopher P. Ley, Jorge F. Silva

We argue that this partially violates the concept of unsupervised training for anomaly detection as the model uses an informed decision that selects what is normal from abnormal for training.

Time Series Time Series Anomaly Detection +1