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riemannian geometry

78 papers

Papers

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 Manifold-regression to predict from MEG/EEG brain signals without source modeling NeurIPS 2019 Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019 Siamese Networks: The Tale of Two Manifolds ICCV 2019 Accelerating Natural Gradient with Higher-Order Invariance ICML 2018 Coding Kendall's Shape Trajectories for 3D Action Recognition CVPR 2018 Metrics for Deep Generative Models AISTATS 2018 A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations JMLR 2017 Principles of Riemannian Geometry in Neural Networks NeurIPS 2017 Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification CVPR 2016 Exponential expressivity in deep neural networks through transient chaos NeurIPS 2016 Geometric Mean Metric Learning ICML 2016 Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices ICCV 2015 Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices ACML 2015 Learning spatiotemporal trajectories from manifold-valued longitudinal data NeurIPS 2015 A Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform CVPR 2014 Positive Curvature and Hamiltonian Monte Carlo NeurIPS 2014 Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI CVPR 2014 A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach ICCV 2013 Curvature-Aware Regularization on Riemannian Submanifolds ICCV 2013 Parallel Transport of Deformations in Shape Space of Elastic Surfaces ICCV 2013 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012