Miguel González-Duque
5 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(3)
Machine Learning
(3)
Artificial Intelligence
(2)
Optimization & Theory
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Generation
(1)
Learning Types
(1)
Models
(1)
Representation
(1)
Techniques
(1)
Keywords
variational inference
(1)
gaussian process
(1)
discrete optimization
(1)
sequence optimization
(1)
high-dimensional optimization
(1)
bayesian optimization
(1)
fisher-rao metric
(1)
information geometry
(1)
riemannian manifold
(1)
generative model
(1)
latent variable model
(1)
latent representation
(1)
drug design
(1)
trajectory generation
(1)
hyperbolic embedding
(1)
protein engineering
(1)
gaussian process latent variable model
(1)
latent space geometry
(1)
pullback metric
(1)
procedural content generation
(1)
Papers
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
AISTATS 2025
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
NeurIPS 2024
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
ICML 2024
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
NeurIPS 2023
Pulling back information geometry
AISTATS 2022