Leonel Rozo
15 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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(7)
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Conferences
CORL (5)
RSS (3)
ICML (2)
NIPS (2)
AISTATS (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
riemannian manifold
(6)
gaussian process
(4)
bayesian optimization
(3)
robot learning
(2)
manifold learning
(1)
gaussian processes
(1)
reinforcement learning
(1)
geometry-aware learning
(1)
policy optimization
(1)
optimal transport
(1)
uncertainty quantification
(1)
high-dimensional optimization
(1)
imitation learning
(1)
robot manipulation
(1)
motion planning
(1)
positive definite matrices
(1)
probabilistic movement primitives
(1)
trajectory distribution
(1)
learning from demonstration
(1)
wasserstein distance
(1)
Papers
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
RSS 2025
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
AISTATS 2025
Geometric Contact Flows: Contactomorphisms for Dynamics and Control
ICML 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
Neural Contractive Dynamical Systems
ICLR 2024
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
ICML 2024
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
NIPS 2023
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
CORL 2022
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
CORL 2021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
CORL 2021
Learning Riemannian Manifolds for Geodesic Motion Skills
RSS 2021
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
NIPS 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