Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning 事件

Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning arXiv:2605.26167v1 Announce Type: cross Abstract: We propose Lie group embedded dynamical neural networks (LieEDNN) and the corresponding learning algorithms based on gradient descent and metric projection on smooth manifold, where we treat Lie group as an intrinsic representation for continuous symmetry of manifold geometry. Thereby we achieve learnable and stable dynamics on the underlying manifo