Noémie Jaquier

60 papers A* 7A 10C 1Misc 3Journal 38Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Information Theoretic Bayesian Optimization over the Probability Simplex. CoRR Federico Pavesi, Antonio Candelieri, Noémie Jaquier
2026	J	`jnl`	Reduced-order Control and Geometric Structure of Learned Lagrangian Latent Dynamics. CoRR Katharina Friedl, Noémie Jaquier, Seungyeon Kim, Jens Lundell, Danica Kragic
2025	A*	`conf`	A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics. ICLR Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic
2025	J	`jnl`	Door-to-Door Parcel Delivery From Supply Point to User's Home With Heterogeneous Robot Team: The euROBIN First-Year Robotics Hackathon. IEEE Robotics Autom. Mag. Alejandro Suárez, Rainer Kartmann, Daniel Leidner, Luca Rossini, Johann Huber, Carlos Azevedo, Quentin Rouxel, Marko Bjelonic, Antonio González-Morgado, Christian R. G. Dreher, Peter Schmaus, Arturo Laurenzi, François Hélénon, Rodrigo Serra, Jean-Baptiste Mouret, Lorenz Wellhausen, Vicente Perez-Sanchez, Jianfeng Gao, Adrian Simon Bauer, Alessio De Luca, Mouad Abrini, Rui Bettencourt, Olivier Rochel, Joonho Lee, Pablo Viana, Christoph Pohl, Nesrine Batti, Diego Vedelago, Vamsi Krishna Guda, Alexander Reske, Carlos Álvarez-Cía, Fabian Reister, Werner Friedl, Corrado Burchielli, Aline Baudry, Fabian Peller-Konrad, Thomas Gumpert, Luca Muratore, Philippe Gauthier, Franziska Krebs, Sebastian Jung, Lorenzo Baccelliere, Hippolyte Watrelot, André Meixner, Anne Köpken, Mohamed Chetouani, Pascal Weiner, Florian Lay, Felix Hundhausen, Anne E. Reichert, Noémie Jaquier, Florian Schmidt, Marco Sewtz, Freek Stulp, Lioba Suchenwirth, Rudolph Triebel, Xuwei Wu, Begoña C. Arrue, Rebecca Schedl-Warpup, Marco Hutter, Serena Ivaldi, Pedro U. Lima, Stéphane Doncieux, Nikos G. Tsagarakis, Tamim Asfour, Aníbal Ollero, Alin Albu-Schäffer
2025	J	`jnl`	Fast and Robust Visuomotor Riemannian Flow Matching Policy. IEEE Trans. Robotics Haoran Ding, Noémie Jaquier, Jan Peters, Leonel Rozo
2025	J	`jnl`	Learning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach. CoRR Katharina Friedl, Noémie Jaquier, Mika Liao, Danica Kragic
2025	A	`conf`	Riemann AISTATS Leonel Rozo, Miguel González Duque, Noémie Jaquier, Søren Hauberg
2025	J	`jnl`	Riemann CoRR Leonel Rozo, Miguel González Duque, Noémie Jaquier, Søren Hauberg
2025	J	`jnl`	Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds. CoRR Luis Augenstein, Noémie Jaquier, Tamim Asfour, Leonel Rozo
2025	J	`jnl`	The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. J. Mach. Learn. Res. Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
2025	A	`conf`	Towards Safe Imitation Learning via Potential Field-Guided Flow Matching. IROS Haoran Ding, Anqing Duan, Zezhou Sun, Leonel Rozo, Noémie Jaquier, Dezhen Song, Yoshihiko Nakamura
2025	J	`jnl`	Towards Safe Imitation Learning via Potential Field-Guided Flow Matching. CoRR Haoran Ding, Anqing Duan, Zezhou Sun, Leonel Rozo, Noémie Jaquier, Dezhen Song, Yoshihiko Nakamura
2025	J	`jnl`	Transfer learning in robotics: An upcoming breakthrough? A review of promises and challenges. Int. J. Robotics Res. Noémie Jaquier, Michael C. Welle, Andrej Gams, Kunpeng Yao, Bernardo Fichera, Aude Billard, Ales Ude, Tamim Asfour, Danica Kragic
2024	J	`jnl`	A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics. CoRR Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic
2024	A*	`conf`	Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. ICRA Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
2024	J	`jnl`	Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. CoRR Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
2024	A*	`conf`	Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. ICML Noémie Jaquier, Leonel Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour
2024	J	`jnl`	Fast and Robust Visuomotor Riemannian Flow Matching Policy. CoRR Haoran Ding, Noémie Jaquier, Jan Peters, Leonel Rozo
2024	A*	`conf`	Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds. ICRA Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, André Meixner, Franziska Krebs, Tamim Asfour
2024	J	`jnl`	On Probabilistic Pullback Metrics on Latent Hyperbolic Manifolds. CoRR Luis Augenstein, Noémie Jaquier, Tamim Asfour, Leonel Rozo
2024	A	`conf`	Riemannian Flow Matching Policy for Robot Motion Learning. IROS Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour
2024	J	`jnl`	Riemannian Flow Matching Policy for Robot Motion Learning. CoRR Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour
2024	J	`jnl`	The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. CoRR Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
2024	A*	`conf`	Towards Unifying Human Likeness: Evaluating Metrics for Human-Like Motion Retargeting on Bimanual Manipulation Tasks. ICRA André Meixner, Mischa Carl, Franziska Krebs, Noémie Jaquier, Tamim Asfour
2024	A*	`conf`	Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. ICRA Noémie Jaquier, Leonel Rozo, Tamim Asfour
2023	A	`conf`	An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets. IROS André Meixner, Franziska Krebs, Noémie Jaquier, Tamim Asfour
2023	J	`jnl`	Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds. CoRR Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, André Meixner, Franziska Krebs, Tamim Asfour
2023	J	`jnl`	K-VIL: Keypoints-Based Visual Imitation Learning. IEEE Trans. Robotics Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
2023	A	`conf`	On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds. IROS Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
2023	J	`jnl`	On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds. CoRR Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
2023	J	`jnl`	Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges. CoRR Noémie Jaquier, Michael C. Welle, Andrej Gams, Kunpeng Yao, Bernardo Fichera, Aude Billard, Ales Ude, Tamim Asfour, Danica Kragic
2023	J	`jnl`	Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. CoRR Noémie Jaquier, Leonel Rozo, Tamim Asfour
2022	A	`conf`	A Riemannian Take on Human Motion Analysis and Retargeting. IROS Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
2022	J	`jnl`	A Riemannian Take on Human Motion Analysis and Retargeting. CoRR Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour
2022	J	`jnl`	Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. CoRR Noémie Jaquier, Leonel Dario Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour
2022	J	`jnl`	K-VIL: Keypoints-based Visual Imitation Learning. CoRR Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
2022	J	`jnl`	Learning to Sequence and Blend Robot Skills via Differentiable Optimization. CoRR Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour
2022	J	`jnl`	Learning to Sequence and Blend Robot Skills via Differentiable Optimization. IEEE Robotics Autom. Lett. Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour
2022	C	`conf`	Riemannian Geometry as a Unifying Theory for Robot Motion Learning and Control. ISRR Noémie Jaquier, Tamim Asfour
2022	J	`jnl`	Riemannian geometry as a unifying theory for robot motion learning and control. CoRR Noémie Jaquier, Tamim Asfour
2021	Misc	`conf`	Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRL Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
2021	J	`jnl`	Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRR Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
2021	J	`jnl`	Geometry-aware manipulability learning, tracking, and transfer. Int. J. Robotics Res. Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon
2021	J	`jnl`	Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics Auton. Syst. Noémie Jaquier, Robert Haschke, Sylvain Calinon
2020	A	`conf`	Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. IROS Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon
2020	J	`jnl`	Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. CoRR Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon
2020	A	`conf`	Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. IROS Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon
2020	J	`jnl`	Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. CoRR Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon
2020	A*	`conf`	High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. NeurIPS Noémie Jaquier, Leonel Dario Rozo
2020	J	`jnl`	High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. CoRR Noémie Jaquier, Leonel Dario Rozo
2019	Misc	`conf`	Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRL Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger
2019	J	`jnl`	Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRR Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger
2019	J	`jnl`	Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control. CoRR Sylvain Calinon, Noémie Jaquier
2019	Misc	`conf`	Learning from demonstration with model-based Gaussian process. CoRL Noémie Jaquier, David Ginsbourger, Sylvain Calinon
2019	J	`jnl`	Learning from demonstration with model-based Gaussian process. CoRR Noémie Jaquier, David Ginsbourger, Sylvain Calinon
2019	J	`jnl`	Tensor-variate Mixture of Experts. CoRR Noémie Jaquier, Robert Haschke, Sylvain Calinon
2018	J	`jnl`	Geometry-aware Manipulability Transfer. CoRR Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon
2018	—	`conf`	Geometry-aware Tracking of Manipulability Ellipsoids. Robotics: Science and Systems Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon
2017	A	`conf`	Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG. IROS Noémie Jaquier, Sylvain Calinon
2017	A	`conf`	Learning manipulability ellipsoids for task compatibility in robot manipulation. IROS Leonel Dario Rozo, Noémie Jaquier, Sylvain Calinon, Darwin G. Caldwell