Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG. - Noémie Jaquier; Sylvain Calinon (IROS, 2017)

Learning manipulability ellipsoids for task compatibility in robot manipulation. - Leonel Dario Rozo; Noémie Jaquier; Sylvain Calinon; Darwin G. Caldwell (IROS, 2017)

Geometry-aware Tracking of Manipulability Ellipsoids. - Noémie Jaquier; Leonel Dario Rozo; Darwin G. Caldwell; Sylvain Calinon (Robotics: Science and Systems, 2018)

Geometry-aware Manipulability Transfer. - Noémie Jaquier; Leonel Dario Rozo; Darwin G. Caldwell; Sylvain Calinon (CoRR, 2018)

Learning from demonstration with model-based Gaussian process. - Noémie Jaquier; David Ginsbourger; Sylvain Calinon (CoRL, 2019)

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. - Noémie Jaquier; Leonel Dario Rozo; Sylvain Calinon; Mathias Bürger (CoRL, 2019)

Tensor-variate Mixture of Experts. - Noémie Jaquier; Robert Haschke; Sylvain Calinon (CoRR, 2019)

Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control. - Sylvain Calinon; Noémie Jaquier (CoRR, 2019)

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. - Hakan Girgin; Emmanuel Pignat; Noémie Jaquier; Sylvain Calinon (IROS, 2020)

Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. - Noémie Jaquier; Leonel Dario Rozo; Sylvain Calinon (IROS, 2020)

High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. - Noémie Jaquier; Leonel Dario Rozo (NeurIPS, 2020)

Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. - Noémie Jaquier; Viacheslav Borovitskiy; Andrei Smolensky; Alexander Terenin; Tamim Asfour; Leonel Dario Rozo (CoRL, 2021)

Geometry-aware manipulability learning, tracking, and transfer. - Noémie Jaquier; Leonel Dario Rozo; Darwin G. Caldwell; Sylvain Calinon (Int. J. Robotics Res., 2021)

Tensor-variate mixture of experts for proportional myographic control of a robotic hand. - Noémie Jaquier; Robert Haschke; Sylvain Calinon (Robotics Auton. Syst., 2021)

A Riemannian Take on Human Motion Analysis and Retargeting. - Holger Klein; Noémie Jaquier; André Meixner; Tamim Asfour (IROS, 2022)

Riemannian Geometry as a Unifying Theory for Robot Motion Learning and Control. - Noémie Jaquier; Tamim Asfour (ISRR, 2022)

Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. - Noémie Jaquier; Leonel Dario Rozo; Miguel González Duque; Viacheslav Borovitskiy; Tamim Asfour (CoRR, 2022)

Learning to Sequence and Blend Robot Skills via Differentiable Optimization. - Noémie Jaquier; You Zhou 007; Julia Starke; Tamim Asfour (IEEE Robotics Autom. Lett., 2022)

On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds. - Holger Klein; Noémie Jaquier; André Meixner; Tamim Asfour (IROS, 2023)

An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets. - André Meixner; Franziska Krebs; Noémie Jaquier; Tamim Asfour (IROS, 2023)

K-VIL: Keypoints-Based Visual Imitation Learning. - Jianfeng Gao 002; Zhi Tao; Noémie Jaquier; Tamim Asfour (IEEE Trans. Robotics, 2023)

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

Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. - Jianfeng Gao 002; Xiaoshu Jin; Franziska Krebs; Noémie Jaquier; Tamim Asfour (ICRA, 2024)

Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds. - Tilman Daab; Noémie Jaquier; Christian R. G. Dreher; André Meixner; Franziska Krebs; Tamim Asfour (ICRA, 2024)

Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. - Noémie Jaquier; Leonel Rozo; Tamim Asfour (ICRA, 2024)

Towards Unifying Human Likeness: Evaluating Metrics for Human-Like Motion Retargeting on Bimanual Manipulation Tasks. - André Meixner; Mischa Carl; Franziska Krebs; Noémie Jaquier; Tamim Asfour (ICRA, 2024)

Riemannian Flow Matching Policy for Robot Motion Learning. - Max Braun; Noémie Jaquier; Leonel Rozo; Tamim Asfour (IROS, 2024)

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. - Peter Mostowsky; Vincent Dutordoir; Iskander Azangulov; Noémie Jaquier; Michael John Hutchinson; Aditya Ravuri; Leonel Rozo; Alexander Terenin; Viacheslav Borovitskiy (CoRR, 2024)

On Probabilistic Pullback Metrics on Latent Hyperbolic Manifolds. - Luis Augenstein; Noémie Jaquier; Tamim Asfour; Leonel Rozo (CoRR, 2024)

Fast and Robust Visuomotor Riemannian Flow Matching Policy. - Haoran Ding; Noémie Jaquier; Jan Peters 001; Leonel Rozo (CoRR, 2024)

Riemann2: Learning Riemannian Submanifolds from Riemannian Data. - Leonel Rozo; Miguel González Duque; Noémie Jaquier; Søren Hauberg (AISTATS, 2025)

A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics. - Katharina Friedl; Noémie Jaquier; Jens Lundell; Tamim Asfour; Danica Kragic (ICLR, 2025)

Transfer learning in robotics: An upcoming breakthrough? A review of promises and challenges. - Noémie Jaquier; Michael C. Welle; Andrej Gams; Kunpeng Yao; Bernardo Fichera; Aude Billard; Ales Ude; Tamim Asfour; Danica Kragic (Int. J. Robotics Res., 2025)