riemannian geometry

Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation CVPR 2026 On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry COLT 2026 RemEdit: Efficient Diffusion Editing with Riemannian Geometry WACV 2026 A Correlation Manifold Self-Attention Network for EEG Decoding IJCAI 2025 A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics ICLR 2025 Dynamic Neural Surfaces for Elastic 4D Shape Representation and Analysis CVPR 2025 Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry CVPR 2025 Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025 Riemannian Geometric-based Meta Learning AAAI 2025 Riemannian-Geometric Fingerprints of Generative Models ICCV 2025 SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG ICLR 2025 Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025 Fisher Flow Matching for Generative Modeling over Discrete Data NeurIPS 2024 Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution ICML 2024 Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024 A Flexible Diffusion Model ICML 2023 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NeurIPS 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023 Efficient Graph Field Integrators Meet Point Clouds ICML 2023 Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View IJCAI 2023 Few-Sample Feature Selection via Feature Manifold Learning ICML 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NeurIPS 2023 Latent Graph Inference using Product Manifolds ICLR 2023 Parametrizing Product Shape Manifolds by Composite Networks ICLR 2023