conftrace_

riemannian geometry

68 papers

Explore in graph

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

RemEdit: Efficient Diffusion Editing with Riemannian Geometry WACV 2026
Riemannian Geometric-based Meta Learning AAAI 2025
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025
Curved Worlds, Clear Boundaries: Generalizing Speech Deepfake Detection using Hyperbolic and Spherical Geometry Spaces AACL 2025
A Correlation Manifold Self-Attention Network for EEG Decoding IJCAI 2025
Riemannian-Geometric Fingerprints of Generative Models ICCV 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
Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024
Fisher Flow Matching for Generative Modeling over Discrete Data NIPS 2024
Few-Sample Feature Selection via Feature Manifold Learning ICML 2023
Efficient Graph Field Integrators Meet Point Clouds ICML 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023
Shape Analysis of Euclidean Curves under Frenet-Serret Framework ICCV 2023
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals ICML 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization NIPS 2023
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View IJCAI 2023
A Flexible Diffusion Model ICML 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry NIPS 2023
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NIPS 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NIPS 2023
MAtt: A Manifold Attention Network for EEG Decoding NIPS 2022
A Geometric Perspective on Variational Autoencoders NIPS 2022