Georgios Arvanitidis - Dokumente zum Namen

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Riemannian Laplace approximations for Bayesian neural ...arXiv

arxiv.org

von F Bergamin · — Authors:Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis. Download a PDF of the paper titled Riemannian Laplace ... von A Pouplin · — On the curvature of the loss landscape. Authors:Alison Pouplin, Hrittik Roy, Sidak Pal Singh, Georgios Arvanitidis.

Multi-Asset Spot and Option Market SimulationSocial Science Research Network

papers.ssrn.com

von M Wiese · · Zitiert von: 10 — Georgios Arvanitidis , Lars Kai Hansen , Søren Hauberg. Latent space oddity: on the curvature of deep generative models Posted:

Georgios Arvanitidis - Academia.eduindependent.academia.edu › GeorgiosArvanitidis

independent.academia.edu

Georgios Arvanitidis studies Electrical Engineering, GSM, WiMAX, LTE, and Game Theory.

[ ] A prior-based approximate latent Riemannian metric

arxiv.org

von G Arvanitidis · · Zitiert von: 4 — Authors:Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf · Download PDF. Abstract: Stochastic generative models enable us to ... › stat

[ ] Fast and Robust Shortest Paths on Manifolds Learned from...

arxiv.org

Submission history. From: Georgios Arvanitidis [view email] [v1] Tue, 22 Jan :44:07 UTC (964 KB). Full-text links: ...

[ ] Variational Autoencoders with Riemannian Brownian Motion...

arxiv.org

Title:Variational Autoencoders with Riemannian Brownian Motion Priors. Authors: Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren ...

Reactive Motion Generation on Learned Riemannian Manifolds - arXivarxiv.org › cs

arxiv.org

· ... on Learned Riemannian Manifolds. Authors:Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo.

A Locally Adaptive Normal Distribution - NeurIPS Proceedings

papers.nips.cc

von G Arvanitidis · · Zitiert von: 19 — Authors. Georgios Arvanitidis, Lars K. Hansen, Søren Hauberg. Abstract. The multivariate normal density is a monotonic function of the distance to the mean, ... › paper ›