188 citations · 367 across the 31 of their papers we have counts for
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stat.ML2017★ 24 cited
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
Deep generative models provide a systematic way to learn nonlinear data distributions, through a set of latent variables and a nonlinear "generator" function that maps latent point…
cs.LG2017
Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning
Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri
Principal Component Analysis (PCA) and Kernel Principal Component Analysis (KPCA) are fundamental methods in machine learning for dimensionality reduction. The former is a techniqu…