The output of AMUSET-TICA includes the eigenvalues 𝜆 F(8) and timescales 𝑠 F(8) of the Koopman matrix, as well as the transformed CVs 𝝃′ where the optional input features 𝒙 M are given. Here 𝒙 can be different from 𝒙 M , which allows us to build AMUSET-TICA with a subset of the input features 𝒙 of a given dataset (e.g., for a downsampled dataset) to fit in computer memory, and then to generate CVs for the full dataset 𝒙 M .