Machine Learning, Non Euclidean, Hyperbolic Geometry, Data Science, Euclidean Distance.
important to learn more about this space. I then remembered a couple of models leveraging non-Euclidean geometry, e.g. Poincaré Embeddings for Learning Hierarchical Representations. I also remembered discussing non-Euclidean Variational Autoencoders (VAE) with my good friend, Aniss Medbouhi.