Georgios Arvanitidis
13 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Champion
(4)
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Topic Evolution
📈
Trend Setter
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Unstoppable · Bronze
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Conference Pioneer
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Century Club · Bronze
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Research topics
Machine Learning
(11)
Deep Learning
(8)
Models
(8)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Mathematics & Optimization
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core Methods
(4)
Mathematics
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Architectures
(2)
Core AI
(2)
Optimization
(2)
Knowledge & Reasoning
(1)
Learning Types
(1)
Keywords
riemannian manifold
(6)
generative model
(5)
variational autoencoder
(4)
latent space
(4)
riemannian metric
(4)
variational inference
(3)
shortest path
(2)
density estimation
(1)
causal reasoning
(1)
manifold learning
(1)
stochastic process
(1)
slice sampling
(1)
prior distribution
(1)
riemannian geometry
(1)
maximum likelihood
(1)
posterior approximation
(1)
laplace approximation
(1)
information geometry
(1)
fisher-rao metric
(1)
markov chain monte carlo
(1)
Papers
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
UAI 2025
Neural Contractive Dynamical Systems
ICLR 2024
On Data Manifolds Entailed by Structural Causal Models
ICML 2023
Riemannian Laplace approximations for Bayesian neural networks
NeurIPS 2023
A prior-based approximate latent Riemannian metric
AISTATS 2022
Pulling back information geometry
AISTATS 2022
Bayesian Quadrature on Riemannian Data Manifolds
ICML 2021
Geometrically Enriched Latent Spaces
AISTATS 2021
Learning Riemannian Manifolds for Geodesic Motion Skills
RSS 2021
Variational Autoencoders with Riemannian Brownian Motion Priors
ICML 2020
Fast and Robust Shortest Paths on Manifolds Learned from Data
AISTATS 2019
Latent Space Oddity: on the Curvature of Deep Generative Models
ICLR 2018
A Locally Adaptive Normal Distribution
NeurIPS 2016