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Jaquier, Noémie

  1. Riemannian Flow Matching Policy for Robot Motion Learning
    2024/03/15 by Max Braun, Braun, Max, Noémie Jaquier +5 · 20 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  2. Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks
    2024/03/05 by Jianfeng Gao, Gao, Jianfeng, Jin, Xiaoshu +5 · 7 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Robot Manipulation and Learning #Robotics (cs.RO) #Teleoperation and Haptic Systems
  3. Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
    2023/11/29 by Noémie Jaquier, Michael C. Welle, Jaquier, Noémie +15 · 6 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
  4. High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
    2020/10/21 by Noémie Jaquier, Jaquier, Noémie, Leonel Rozo +1 · 2 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification #Optimization and Control (math.OC)
  5. Fast and Robust Visuomotor Riemannian Flow Matching Policy
    2024/12/14 by Haoran Ding, Noémie Jaquier, Ding, Haoran +5 · 5 citations
    Computer Science · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
  6. Learning from demonstration with model-based Gaussian process
    2019/10/11 by Noémie Jaquier, Jaquier, Noémie, David Ginsbourger +3 · 1 citation
    Computer Science · Engineering · #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference #Fault Detection and Control Systems
  7. Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
    2019/10/11 by Noémie Jaquier, Leonel Rozo, Jaquier, Noémie +5 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Robotics (cs.RO)
  8. The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
    2024/07/10 by Mostowsky, Peter, Dutordoir, Vincent, Azangulov, Iskander +6 · 2 citations
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds
    2022/10/04 by Noémie Jaquier, Leonel Rozo, Jaquier, Noémie +7 · 2 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotics (cs.RO)
  10. A Riemannian Take on Human Motion Analysis and Retargeting
    2022/08/02 by Holger Klein, Klein, Holger, Noémie Jaquier +5 · 1 citation
    Computer Science · Engineering · Psychology · #Action Observation and Synchronization #FOS: Computer and information sciences #Human Pose and Action Recognition #Robot Manipulation and Learning #Robotics (cs.RO)
  11. Riemannian geometry as a unifying theory for robot motion learning and control
    2022/09/30 by Noémie Jaquier, Jaquier, Noémie, Tamim Asfour +1 · 1 citation
    Engineering · Mathematics · Medicine · #Biofield Effects and Biophysics #FOS: Computer and information sciences #Mechanics and Biomechanics Studies #Morphological variations and asymmetry #Robotics (cs.RO)
  12. On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds
    2023/07/28 by Klein, Holger, Jaquier, Noémie, Meixner, Andre +1 · 1 citation
    #FOS: Computer and information sciences #Robotics (cs.RO)
  13. Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
    2023/10/11 by Jaquier, Noémie, Rozo, Leonel, Asfour, Tamim · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  14. On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds
    2024/10/28 by Augenstein, Luis, Jaquier, Noémie, Asfour, Tamim +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Riemann2: Learning Riemannian Submanifolds from Riemannian Data
    2025/03/07 by Rozo, Leonel, González-Duque, Miguel, Jaquier, Noémie +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)