Research output per year
Research output per year
Fingerprint
Dive into the research topics where Georgios Arvanitidis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Neural Contractive Dynamical Systems
Beik-Mohammadi, H., Hauberg, S., Arvanitidis, G., Figueroa, N., Neumann, G. & Rozo, L., 2024, Proceedings of The Twelfth International Conference on Learning Representations (ICLR 2024) . 24 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile7 Downloads (Pure) -
On Data Manifolds Entailed by Structural Causal Models
Dominguez-Olmedo, R., Karimi, A.-H., Arvanitidis, G. & Schölkopf, B., 2023, Proceedings of the 40th International Conference on Machine Learning. Proceedings of Machine Learning Research, Vol. 202. p. 8188-8201Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile58 Downloads (Pure) -
Reactive motion generation on learned Riemannian manifolds
Beik-Mohammadi, H., Hauberg, S., Arvanitidis, G., Neumann, G. & Rozo, L., 2023, In: International Journal of Robotics Research. 42, 10, p. 729-754Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile19 Downloads (Pure) -
Riemannian Laplace approximations for Bayesian neural networks
Bergamin, F., Moreno-Muñoz, P., Hauberg, S. & Arvanitidis, G., 2023, Proceedings of the 37th Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation, Vol. 36. 28 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile55 Downloads (Pure) -
A prior-based approximate latent Riemannian metric
Arvanitidis, G., Georgiev, B. & Scholkopf, B., 2022, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics . International Machine Learning Society (IMLS), 25 p. (Proceedings of Machine Learning Research, Vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile84 Downloads (Pure)
-
Deep Learning Theory and Differential Geometry
Gegenfurtner, J. M. (PhD Student), Arvanitidis, G. (Main Supervisor) & Brander, D. (Supervisor)
01/10/2024 → 30/09/2027
Project: PhD
-
Real-time radiation measurements using neural networks
Valverde Mahou, A. (PhD Student) & Arvanitidis, G. (Main Supervisor)
01/06/2024 → 31/05/2027
Project: PhD
-
Finslerian aspects of random Riemannian manifolds
Pouplin, A. M. S. (PhD Student), Hauberg, S. (Main Supervisor), Arvanitidis, G. (Supervisor), Bronstein, M. (Examiner) & Nielsen, F. (Examiner)
01/04/2020 → 11/01/2024
Project: PhD
-
Geometrical aspects of manifold learning
Arvanitidis, G. (PhD Student), Hauberg, S. (Main Supervisor), Hansen, L. K. (Supervisor), Winther, O. (Examiner), Girolami, M. (Examiner) & Pfau, D. (Examiner)
Technical University of Denmark
01/12/2015 → 08/05/2019
Project: PhD
File