Papers citing 'UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction'

Title
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 323 939 0 23 Mar 2018
A more globally accurate dimensionality reduction method using triplets Ehsan Amid Manfred K. Warmuth 122 16 0 01 Mar 2018
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions Michaël Fanuel Antoine Aspeel Jean-Charles Delvenne Johan A. K. Suykens 111 5 0 20 Nov 2017
Efficient Manifold and Subspace Approximations with Spherelets Didong Li Minerva Mukhopadhyay David B. Dunson 245 23 0 26 Jun 2017
Complex systems: features, similarity and connectivity C. H. Comin Thomas K. D. M. Peron F. N. Silva D. R. Amancio F. Rodrigues L. D. F. Costa AI4CE 133 57 0 17 Jun 2016