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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

Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020
Riemannian Continuous Normalizing Flows NIPS 2020
Differentiating through the Fréchet Mean ICML 2020
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020
Learning Flat Latent Manifolds with VAEs ICML 2020
From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds NIPS 2020
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020
Matérn Gaussian Processes on Riemannian Manifolds NIPS 2020
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems L4DC 2020
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks ACL 2020
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019
Efficiently escaping saddle points on manifolds NIPS 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models AISTATS 2019
On the Curved Geometry of Accelerated Optimization NIPS 2019
Hyperbolic Graph Neural Networks NIPS 2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019
Escaping from saddle points on Riemannian manifolds NIPS 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CORL 2019
Riemannian batch normalization for SPD neural networks NIPS 2019
High-Order Tensor Regularization With Application to Attribute Ranking CVPR 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018
Inexact trust-region algorithms on Riemannian manifolds NIPS 2018