Machine Learning, Non Euclidean, Hyperbolic Geometry, Data Science, Euclidean Distance.
Resource: Adapted from Wikipedia. The typical objective of an autoencoder is to reproduce the input x after compressing it in a latent space. Such latent space is typically Euclidean. What if we use a hyperbolic space for certain datasets to better reproduce them in the output space? Aniss is doing