manifold-valued data

Recursive Fréchet Mean Estimation UAI 2026 Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025 A Lie Group Approach to Riemannian Batch Normalization ICLR 2024 Flow-based Generative Models for Learning Manifold to Manifold Mappings AAAI 2021 Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020 Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets AAAI 2019 Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms CVPR 2018 Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018 Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging CVPR 2017 A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis CVPR 2016 When VLAD Met Hilbert CVPR 2016 Learning spatiotemporal trajectories from manifold-valued longitudinal data NeurIPS 2015 Manifold-valued Dirichlet Processes ICML 2015 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014 Wasserstein Propagation for Semi-Supervised Learning ICML 2014