| 2025 | AISTATS | Riemann | Leonel Rozo, Miguel Gonzlez Duque, Nomie Jaquier, Sren Hauberg |
| 2025 | ICLR | A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics. | Katharina Friedl, Nomie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic |
| 2025 | IROS | Towards Safe Imitation Learning via Potential Field-Guided Flow Matching. | Haoran Ding, Anqing Duan, Zezhou Sun, Leonel Rozo, Nomie Jaquier, Dezhen Song, Yoshihiko Nakamura |
| 2024 | ICML | Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. | Nomie Jaquier, Leonel Rozo, Miguel Gonzlez Duque, Viacheslav Borovitskiy, Tamim Asfour |
| 2024 | ICRA | Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. | Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Nomie Jaquier, Tamim Asfour |
| 2024 | ICRA | Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds. | Tilman Daab, Nomie Jaquier, Christian R. G. Dreher, Andr Meixner, Franziska Krebs, Tamim Asfour |
| 2024 | ICRA | Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. | Nomie Jaquier, Leonel Rozo, Tamim Asfour |
| 2024 | ICRA | Towards Unifying Human Likeness: Evaluating Metrics for Human-Like Motion Retargeting on Bimanual Manipulation Tasks. | Andr Meixner, Mischa Carl, Franziska Krebs, Nomie Jaquier, Tamim Asfour |
| 2024 | IROS | Riemannian Flow Matching Policy for Robot Motion Learning. | Max Braun, Nomie Jaquier, Leonel Rozo, Tamim Asfour |
| 2023 | IROS | On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds. | Holger Klein, Nomie Jaquier, Andr Meixner, Tamim Asfour |
| 2023 | IROS | An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets. | Andr Meixner, Franziska Krebs, Nomie Jaquier, Tamim Asfour |
| 2022 | IROS | A Riemannian Take on Human Motion Analysis and Retargeting. | Holger Klein, Nomie Jaquier, Andr Meixner, Tamim Asfour |
| 2022 | ISRR | Riemannian Geometry as a Unifying Theory for Robot Motion Learning and Control. | Nomie Jaquier, Tamim Asfour |
| 2021 | CoRL | Geometry-aware Bayesian Optimization in Robotics using Riemannian Matrn Kernels. | Nomie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo |
| 2020 | IROS | Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. | Hakan Girgin, Emmanuel Pignat, Nomie Jaquier, Sylvain Calinon |
| 2020 | IROS | Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. | Nomie Jaquier, Leonel Dario Rozo, Sylvain Calinon |
| 2019 | CoRL | Learning from demonstration with model-based Gaussian process. | Nomie Jaquier, David Ginsbourger, Sylvain Calinon |
| 2019 | CoRL | Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. | Nomie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Brger |
| 2017 | IROS | Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG. | Nomie Jaquier, Sylvain Calinon |
| 2017 | IROS | Learning manipulability ellipsoids for task compatibility in robot manipulation. | Leonel Dario Rozo, Nomie Jaquier, Sylvain Calinon, Darwin G. Caldwell |