Noémie Jaquier
9 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (14)
🗺️
Taxonomy Completionist
(19)
🌉
Interdisciplinary Bridge
🏆
Keyword Champion
📈
Trend Setter
Conferences
CORL (3)
AISTATS (1)
ICLR (1)
ICML (1)
JMLR (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
gaussian process
(5)
bayesian optimization
(3)
riemannian manifold
(3)
uncertainty quantification
(1)
geometry-aware learning
(1)
robot learning
(1)
multi-output regression
(1)
high-dimensional optimization
(1)
robot manipulation
(1)
positive definite matrices
(1)
learning from demonstration
(1)
generative model
(1)
heat kernel
(1)
fourier feature
(1)
kernel function
(1)
geometric learning
(1)
multi-output gaussian process
(1)
tensor method
(1)
matern kernel
(1)
tracking control
(1)
Papers
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
ICLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
AISTATS 2025
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
ICML 2024
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
CORL 2021
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
NIPS 2020
Learning from demonstration with model-based Gaussian process
CORL 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
CORL 2019
Geometry-aware Tracking of Manipulability Ellipsoids
RSS 2018