SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Vincent Fortuin, Matthias Hüser, Francesco Locatello +2

High-dimensional time series are common in many domains. Since human cognition is not optimized to work well in high-dimensional spaces, these areas could benefit from interpretabl…