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riemannian geometry

68 papers

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Co-occurring keywords

manifold learning (403) riemannian manifold (169) generative model (2892) representation learning (6206) latent space (854) covariance matrix (101) symmetric positive definite matrix (18) shape analysis (36) variational inference (2069) metric learning (1190)

Papers

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data NIPS 2022
A Riemannian Framework for Analysis of Human Body Surface WACV 2022
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning NIPS 2022
A Statistical Manifold Framework for Point Cloud Data ICML 2022
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NIPS 2022
MAtt: A Manifold Attention Network for EEG Decoding NIPS 2022
A Geometric Perspective on Variational Autoencoders NIPS 2022
Measure Estimation in the Barycentric Coding Model ICML 2022
Ultrahyperbolic Neural Networks NIPS 2021
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition ICCV 2021
Hyperbolic Procrustes Analysis Using Riemannian Geometry NIPS 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding IJCAI 2020
Nonparametric Fisher Geometry with Application to Density Estimation UAI 2020
Geodesically-convex optimization for averaging partially observed covariance matrices ACML 2020
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data ICCV 2019
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019
Siamese Networks: The Tale of Two Manifolds ICCV 2019
Manifold-regression to predict from MEG/EEG brain signals without source modeling NIPS 2019
Metrics for Deep Generative Models AISTATS 2018
Coding Kendall's Shape Trajectories for 3D Action Recognition CVPR 2018
Accelerating Natural Gradient with Higher-Order Invariance ICML 2018