Follow
Georgios Arvanitidis
Georgios Arvanitidis
Cognitive Systems, DTU Compute, Technical University of Denmark
Verified email at dtu.dk - Homepage
Title
Cited by
Cited by
Year
Latent space oddity: on the curvature of deep generative models
G Arvanitidis, LK Hansen, S Hauberg
ICLR 2018, 2018
2582018
Geometrically enriched latent spaces
G Arvanitidis, S Hauberg, B Schölkopf
AISTATS 2021, 2020
492020
Variational autoencoders with riemannian brownian motion priors
D Kalatzis, D Eklund, G Arvanitidis, S Hauberg
ICML 2020, 2020
432020
Fast and robust shortest paths on manifolds learned from data
G Arvanitidis, S Hauberg, P Hennig, M Schober
AISTATS 2019, 2019
392019
Geodesic clustering in deep generative models
T Yang, G Arvanitidis, D Fu, X Li, S Hauberg
arXiv preprint arXiv:1809.04747, 2018
302018
A locally adaptive normal distribution
G Arvanitidis, LK Hansen, S Hauberg
NeurIPS 2016, 2016
272016
Learning riemannian manifolds for geodesic motion skills
H Beik-Mohammadi, S Hauberg, G Arvanitidis, G Neumann, L Rozo
R:SS 2021, 2021
222021
Exploiting graph embedding in support vector machines
G Arvanitidis, A Tefas
MLSP 2012, 2012
172012
Pulling back information geometry
G Arvanitidis, M González-Duque, A Pouplin, D Kalatzis, S Hauberg
AISTATS 2022, 2021
122021
A prior-based approximate latent riemannian metric
G Arvanitidis, B Georgiev, B Schölkopf
AISTATS 2022, 2021
82021
Reactive motion generation on learned riemannian manifolds
H Beik-Mohammadi, S Hauberg, G Arvanitidis, G Neumann, L Rozo
IJRR 2023, 2022
62022
Maximum likelihood estimation of riemannian metrics from euclidean data
G Arvanitidis, LK Hansen, S Hauberg
GSI 2017, 2017
62017
Riemannian Laplace approximations for Bayesian neural networks
F Bergamin, P Moreno-Muñoz, S Hauberg, G Arvanitidis
NeurIPS 2023, 2023
52023
Bayesian quadrature on Riemannian data manifolds
C Fröhlich, A Gessner, P Hennig, B Schölkopf, G Arvanitidis
ICML 2021, 2021
42021
Geometrical Aspects of Manifold Learning
G Arvanitidis
Technical University of Denmark, 2019
22019
Neural Contractive Dynamical Systems
H Beik-Mohammadi, S Hauberg, G Arvanitidis, N Figueroa, G Neumann, ...
ICLR 2024, 2024
12024
On Data Manifolds Entailed by Structural Causal Models
R Dominguez-Olmedo, AH Karimi, G Arvanitidis, B Schölkopf
ICML 2023, 2023
12023
Neural Contractive Dynamical Systems
HB Mohammadi, S Hauberg, G Arvanitidis, N Figueroa, G Neumann, ...
The Twelfth International Conference on Learning Representations, 2023
2023
On the curvature of the loss landscape
A Pouplin, H Roy, SP Singh, G Arvanitidis
arXiv preprint arXiv:2307.04719, 2023
2023
Reactive Motion Generation on Learned Riemannian Manifolds.
HB Mohammadi, S Hauberg, G Arvanitidis, G Neumann, LD Rozo
CoRR, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20