Georgios Arvanitidis

38 papers A* 5A 5Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Extended neural contractive dynamical systems: On multiple tasks and Riemannian safety regions. Int. J. Robotics Res. Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo
2026	J	`jnl`	Reducing Memorisation in Generative Models via Riemannian Bayesian Inference. CoRR Johanna Marie Gegenfurtner, Albert Kjøller Jacobsen, Naima Elosegui Borras, Alejandro Valverde Mahou, Georgios Arvanitidis
2025	J	`jnl`	Connecting Neural Models Latent Geometries with Relative Geodesic Representations. CoRR Hanlin Yu, Berfin Inal, Georgios Arvanitidis, Søren Hauberg, Francesco Locatello, Marco Fumero
2025	A	`conf`	Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. UAI Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, Georgios Arvanitidis, Arto Klami
2025	J	`jnl`	Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. CoRR Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, Georgios Arvanitidis, Arto Klami
2025	J	`jnl`	Learning geometry and topology via multi-chart flows. CoRR Hanlin Yu, Søren Hauberg, Marcelo Hartmann, Arto Klami, Georgios Arvanitidis
2025	J	`jnl`	Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry. CoRR Albert Kjøller Jacobsen, Georgios Arvanitidis
2025	J	`jnl`	Staying on the Manifold: Geometry-Aware Noise Injection. CoRR Albert Kjøller Jacobsen, Johanna Marie Gegenfurtner, Georgios Arvanitidis
2024	J	`jnl`	Counterfactual Explanations via Riemannian Latent Space Traversal. CoRR Paraskevas Pegios, Aasa Feragen, Andreas Abildtrup Hansen, Georgios Arvanitidis
2024	J	`jnl`	Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions. CoRR Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo
2024	A*	`conf`	Neural Contractive Dynamical Systems. ICLR Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo
2024	J	`jnl`	Neural Contractive Dynamical Systems. CoRR Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo
2023	A*	`conf`	On Data Manifolds Entailed by Structural Causal Models. ICML Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf
2023	J	`jnl`	On the curvature of the loss landscape. CoRR Alison Pouplin, Hrittik Roy, Sidak Pal Singh, Georgios Arvanitidis
2023	J	`jnl`	Reactive motion generation on learned Riemannian manifolds. Int. J. Robotics Res. Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo
2023	A*	`conf`	Riemannian Laplace approximations for Bayesian neural networks. NeurIPS Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
2023	J	`jnl`	Riemannian Laplace approximations for Bayesian neural networks. CoRR Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
2022	A	`conf`	A prior-based approximate latent Riemannian metric. AISTATS Georgios Arvanitidis, Bogdan M. Georgiev, Bernhard Schölkopf
2022	A	`conf`	Pulling back information geometry. AISTATS Georgios Arvanitidis, Miguel González Duque, Alison Pouplin, Dimitrios Kalatzis, Søren Hauberg
2022	J	`jnl`	Reactive Motion Generation on Learned Riemannian Manifolds. CoRR Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo
2021	J	`jnl`	A prior-based approximate latent Riemannian metric. CoRR Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf
2021	A*	`conf`	Bayesian Quadrature on Riemannian Data Manifolds. ICML Christian Fröhlich, Alexandra Gessner, Philipp Hennig, Bernhard Schölkopf, Georgios Arvanitidis
2021	J	`jnl`	Bayesian Quadrature on Riemannian Data Manifolds. CoRR Christian Fröhlich, Alexandra Gessner, Philipp Hennig, Bernhard Schölkopf, Georgios Arvanitidis
2021	A	`conf`	Geometrically Enriched Latent Spaces. AISTATS Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf
2021	—	`conf`	Learning Riemannian Manifolds for Geodesic Motion Skills. Robotics: Science and Systems Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo
2021	J	`jnl`	Learning Riemannian Manifolds for Geodesic Motion Skills. CoRR Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo
2021	J	`jnl`	On the Impact of Stable Ranks in Deep Nets. CoRR Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee, Georgios Arvanitidis
2021	J	`jnl`	Pulling back information geometry. CoRR Georgios Arvanitidis, Miguel González Duque, Alison Pouplin, Dimitris Kalatzis, Søren Hauberg
2020	J	`jnl`	Geometrically Enriched Latent Spaces. CoRR Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf
2020	A*	`conf`	Variational Autoencoders with Riemannian Brownian Motion Priors. ICML Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg
2020	J	`jnl`	Variational Autoencoders with Riemannian Brownian Motion Priors. CoRR Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg
2019	A	`conf`	Fast and Robust Shortest Paths on Manifolds Learned from Data. AISTATS Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober
2019	J	`jnl`	Fast and Robust Shortest Paths on Manifolds Learned from Data. CoRR Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober
2018	J	`jnl`	Geodesic Clustering in Deep Generative Models. CoRR Tao Yang, Georgios Arvanitidis, Dongmei Fu, Xiaogang Li, Søren Hauberg
2018	—	`conf`	Latent Space Oddity: on the Curvature of Deep Generative Models. ICLR (Poster) Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
2017	—	`conf`	Maximum Likelihood Estimation of Riemannian Metrics from Euclidean Data. GSI Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
2016	—	`conf`	A Locally Adaptive Normal Distribution. NIPS Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
2012	—	`conf`	Exploiting graph embedding in support vector machines. MLSP Georgios Arvanitidis, Anastasios Tefas