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riemannian manifold

169 papers

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Co-occurring keywords

manifold learning (403) kernel methods (1097) markov chain monte carlo (725) riemannian geometry (68) gaussian process (1200) representation learning (6206) manifold optimization (67) symmetric positive definite matrix (18) graph neural network (3962) dimensionality reduction (720)

Papers

Averaging Stochastic Gradient Descent on Riemannian Manifolds COLT 2018
Trajectory Optimization On Manifolds with Applications to SO(3) and R3XS2 RSS 2018
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018
Riemannian Stochastic Recursive Gradient Algorithm ICML 2018
Coding Kendall's Shape Trajectories for 3D Action Recognition CVPR 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams NIPS 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices NIPS 2018
Regression Uncertainty on the Grassmannian AISTATS 2017
Riemannian approach to batch normalization NIPS 2017
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds AISTATS 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017
Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging CVPR 2017
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds NIPS 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NIPS 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds CVPR 2016
An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds CVPR 2016
Rolling Rotations for Recognizing Human Actions From 3D Skeletal Data CVPR 2016
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold CVPR 2016
Isometric Non-Rigid Shape-From-Motion in Linear Time CVPR 2016
Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics ICML 2016
Stochastic Gradient Geodesic MCMC Methods NIPS 2016
Kinematic Structure Correspondences via Hypergraph Matching CVPR 2016