Hyperbolic geometry has recently garnered considerable attention in machine learning due to its ability to embed hierarchical graph structures with low distortions for further downstream processing. This paper introduces a simple framework to detect local outliers for datasets grounded in hyperbolic 2-space. which is referred to as Hyperbolic Local Outlier Probability (HLoOP). Within ... https://www.lorenametaute.com/