riemannian manifold
A geometric framework used in advanced AI and machine learning techniques, particularly those involving optimization on curved spaces, facilitating complex data relationships.
- An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
- BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold
- Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
- Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
- Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW
- Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
- Geometric Imbalance in Semi-Supervised Node Classification