Hauberg, Soren

12 publications

AISTATS 2023 Adaptive Cholesky Gaussian Processes Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz, Wouter Boomsma, Jes Frellsen, Soren Hauberg

AISTATS 2022 Model-Agnostic Out-of-Distribution Detection Using Combined Statistical Tests Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Soren Hauberg, Jes Frellsen

AISTATS 2022 Pulling Back Information Geometry Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin, Dimitrios Kalatzis, Soren Hauberg

AISTATS 2021 Geometrically Enriched Latent Spaces Georgios Arvanitidis, Soren Hauberg, Bernhard Schölkopf

ICML 2021 Isometric Gaussian Process Latent Variable Model for Dissimilarity Data Martin Jørgensen, Soren Hauberg

ICML 2020 Variational Autoencoders with Riemannian Brownian Motion Priors Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Soren Hauberg

AISTATS 2019 Fast and Robust Shortest Paths on Manifolds Learned from Data Georgios Arvanitidis, Soren Hauberg, Philipp Hennig, Michael Schober

CVPR 2017 Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning Rudrasis Chakraborty, Soren Hauberg, Baba C. Vemuri

CVPR 2015 Geodesic Exponential Kernels: When Curvature and Linearity Conflict Aasa Feragen, Francois Lauze, Soren Hauberg

ICCV 2015 Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple Oren Freifeld, Soren Hauberg, Kayhan Batmanghelich, John W. Fisher Iii

CVPR 2014 Grassmann Averages for Scalable Robust PCA Soren Hauberg, Aasa Feragen, Michael J. Black

CVPR 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds Oren Freifeld, Soren Hauberg, Michael J. Black