Leonel Rozo
15 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Keyword Champion
(7)
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Keyword Collector
(70)
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Trend Setter
💎
Century Club · Bronze
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Unstoppable · Bronze
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Mathematics & Optimization
(6)
Core AI
(6)
Optimization & Theory
(6)
Mathematics
(5)
Robotics
(4)
Capabilities
(4)
Deep Learning
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Application Areas
(2)
Core Methods
(2)
Optimization
(2)
Systems
(2)
Keywords
riemannian manifold
(7)
gaussian process
(5)
bayesian optimization
(3)
obstacle avoidance
(2)
robot learning
(2)
variational autoencoder
(2)
dynamical system
(2)
gaussian processes
(1)
manifold learning
(1)
reinforcement learning
(1)
geometry-aware learning
(1)
high-dimensional optimization
(1)
policy optimization
(1)
robot manipulation
(1)
probabilistic movement primitives
(1)
optimal transport
(1)
positive definite matrices
(1)
trajectory distribution
(1)
learning from demonstration
(1)
uncertainty quantification
(1)
Papers
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
RSS 2025
Geometric Contact Flows: Contactomorphisms for Dynamics and Control
ICML 2025
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
AISTATS 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
ICML 2024
Neural Contractive Dynamical Systems
ICLR 2024
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
NeurIPS 2023
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
CoRL 2022
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
CoRL 2021
Learning Riemannian Manifolds for Geodesic Motion Skills
RSS 2021
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
CoRL 2021
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
NeurIPS 2020
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
CoRL 2019
PyRoboLearn: A Python Framework for Robot Learning Practitioners
CoRL 2019
Geometry-aware Tracking of Manipulability Ellipsoids
RSS 2018