William Todo

Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder

We tackle the issue of anomaly detection for multivariate functional data in a supervised setting. Deep learning applied to multivariate time series has become common nowadays, especially for medical data such as electrocardiogram (ECG). There are not many explanability techniques that can handle mu…