Jaquier, Noémie

7 publications

ICLR 2025 A Riemannian Framework for Learning Reduced-Order Lagrangian Dynamics Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic

AISTATS 2025 Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data Leonel Rozo, Miguel González-Duque, Noémie Jaquier, Søren Hauberg

ICML 2024 Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic Manifolds Noémie Jaquier, Leonel Rozo, Miguel González-Duque, Viacheslav Borovitskiy, Tamim Asfour

CoRL 2021 Geometry-Aware Bayesian Optimization in Robotics Using Riemannian Matérn Kernels Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Rozo

NeurIPS 2020 High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds Noémie Jaquier, Leonel Rozo

CoRL 2019 Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier, Leonel Rozo, Sylvain Calinon, Mathias Bürger

CoRL 2019 Learning from Demonstration with Model-Based Gaussian Process Noémie Jaquier, David Ginsbourger, Sylvain Calinon