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Søren Hauberg
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Publications
- 2024
- [i46]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo:
Neural Contractive Dynamical Systems. CoRR abs/2401.09352 (2024) - 2023
- [j13]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo:
Reactive motion generation on learned Riemannian manifolds. Int. J. Robotics Res. 42(10): 729-754 (2023) - [c52]Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis:
Riemannian Laplace approximations for Bayesian neural networks. NeurIPS 2023 - [i41]Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis:
Riemannian Laplace approximations for Bayesian neural networks. CoRR abs/2306.07158 (2023) - 2022
- [c49]Georgios Arvanitidis, Miguel González Duque, Alison Pouplin, Dimitrios Kalatzis, Søren Hauberg:
Pulling back information geometry. AISTATS 2022: 4872-4894 - [i33]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo:
Reactive Motion Generation on Learned Riemannian Manifolds. CoRR abs/2203.07761 (2022) - 2021
- [c42]Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf:
Geometrically Enriched Latent Spaces. AISTATS 2021: 631-639 - [c36]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo:
Learning Riemannian Manifolds for Geodesic Motion Skills. Robotics: Science and Systems 2021 - [i22]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo:
Learning Riemannian Manifolds for Geodesic Motion Skills. CoRR abs/2106.04315 (2021) - [i21]Georgios Arvanitidis, Miguel González Duque, Alison Pouplin, Dimitris Kalatzis, Søren Hauberg:
Pulling back information geometry. CoRR abs/2106.05367 (2021) - 2020
- [c34]Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg:
Variational Autoencoders with Riemannian Brownian Motion Priors. ICML 2020: 5053-5066 - [i19]Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg:
Variational Autoencoders with Riemannian Brownian Motion Priors. CoRR abs/2002.05227 (2020) - [i16]Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf:
Geometrically Enriched Latent Spaces. CoRR abs/2008.00565 (2020) - 2019
- [c32]Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober:
Fast and Robust Shortest Paths on Manifolds Learned from Data. AISTATS 2019: 1506-1515 - [i12]Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober:
Fast and Robust Shortest Paths on Manifolds Learned from Data. CoRR abs/1901.07229 (2019) - 2018
- [c26]Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg:
Latent Space Oddity: on the Curvature of Deep Generative Models. ICLR (Poster) 2018 - [i6]Tao Yang, Georgios Arvanitidis, Dongmei Fu, Xiaogang Li, Søren Hauberg:
Geodesic Clustering in Deep Generative Models. CoRR abs/1809.04747 (2018) - 2017
- [c24]Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg:
Maximum Likelihood Estimation of Riemannian Metrics from Euclidean Data. GSI 2017: 38-46 - 2016
- [c21]Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg:
A Locally Adaptive Normal Distribution. NIPS 2016: 4251-4259
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last updated on 2024-04-03 20:26 CEST by the dblp team
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