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riemannian manifold

169 papers

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Co-occurring keywords

manifold learning (403) kernel methods (1097) markov chain monte carlo (725) riemannian geometry (68) gaussian process (1200) representation learning (6206) manifold optimization (67) symmetric positive definite matrix (18) graph neural network (3962) dimensionality reduction (720)

Papers

Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026
RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization AAAI 2026
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations AAAI 2026
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
Riemannian Bilevel Optimization JMLR 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation CVPR 2025
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds JMLR 2025
Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024
Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024
Learning Distributions on Manifolds with Free-Form Flows NIPS 2024
A Framework for Bilevel Optimization on Riemannian Manifolds NIPS 2024
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors CVPR 2024
Spiking Graph Neural Network on Riemannian Manifolds NIPS 2024
Geodesic Optimization for Predictive Shift Adaptation on EEG data NIPS 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries NIPS 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024
Riemannian Multinomial Logistics Regression for SPD Neural Networks CVPR 2024
Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier COLT 2024
Online Optimization over Riemannian Manifolds JMLR 2023
Riemannian Local Mechanism for SPD Neural Networks AAAI 2023
Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets RSS 2023