{"total":20,"rows":[{"id":"2211.03169","title":"Learning Riemannian Stable Dynamical Systems via Diffeomorphisms","created":"2022-11-06","cited_by_count":17,"area":null},{"id":"2401.09352","title":"Neural Contractive Dynamical Systems","created":"2024-01-17","cited_by_count":14,"area":null},{"id":"2110.11774","title":"Learning Stable Vector Fields on Lie Groups","created":"2021-10-22","cited_by_count":12,"area":null},{"id":"2111.13129","title":"Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models","created":"2021-11-25","cited_by_count":12,"area":null},{"id":"2102.09750","title":"Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory","created":"2021-02-19","cited_by_count":11,"area":null},{"id":"2402.08090","title":"Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees","created":"2024-02-12","cited_by_count":11,"area":null},{"id":"2103.05922","title":"RMP2: A Structured Composable Policy Class for Robot Learning","created":"2021-03-10","cited_by_count":8,"area":null},{"id":"2203.07761","title":"Reactive Motion Generation on Learned Riemannian Manifolds","created":"2022-03-15","cited_by_count":6,"area":null},{"id":"2310.07902","title":"Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning","created":"2023-10-11","cited_by_count":6,"area":null},{"id":"2102.11923","title":"KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss","created":"2021-02-22","cited_by_count":2,"area":null},{"id":"2403.11948","title":"Learning Dynamical Systems Encoding Non-Linearity within Space Curvature","created":"2024-03-18","cited_by_count":2,"area":null},{"id":"2506.17868","title":"Geometric Contact Flows: Contactomorphisms for Dynamics and Control","created":"2025-06-22","cited_by_count":2,"area":null},{"id":"2202.09171","title":"Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps","created":"2022-02-18","cited_by_count":1,"area":null},{"id":"2309.10298","title":"Learning Orbitally Stable Systems for Diagrammatically Teaching","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2410.01033","title":"Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks","created":"2024-10-01","cited_by_count":1,"area":null},{"id":"2411.11405","title":"Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions","created":"2024-11-18","cited_by_count":1,"area":null},{"id":"2504.18860","title":"Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations","created":"2025-04-26","cited_by_count":1,"area":null},{"id":"2509.09074","title":"KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning","created":"2025-09-11","cited_by_count":1,"area":null},{"id":"2407.10383","title":"Learning to Represent Surroundings, Anticipate Motion and Take Informed Actions in Unstructured Environments","created":"2024-07-15","cited_by_count":0,"area":null},{"id":"2504.02607","title":"Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks","created":"2025-04-03","cited_by_count":0,"area":null}],"next_cursor":null}