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Riemannian optimization
Riemannian optimization
Optimization methods on Riemannian manifolds.
Papers
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Showing 1–25 of 153 papers
Title
Date
Tasks
Status
Hype
Geoopt: Riemannian Optimization in PyTorch
May 6, 2020
Riemannian optimization
Code
Code Available
2
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching
Apr 1, 2024
CPU
Image Registration
Code
Code Available
2
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Mar 26, 2025
Denoising
global-optimization
Code
Code Available
2
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
Jun 9, 2021
Graph Reconstruction
Node Classification
Code
Code Available
2
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Apr 7, 2020
BIG-bench Machine Learning
Clustering
Code
Code Available
2
geomstats: a Python Package for Riemannian Geometry in Machine Learning
May 21, 2018
BIG-bench Machine Learning
GPU
Code
Code Available
2
Riemannian Adaptive Optimization Methods
Oct 1, 2018
Riemannian optimization
Stochastic Optimization
Code
Code Available
2
Projective Manifold Gradient Layer for Deep Rotation Regression
Oct 22, 2021
regression
Riemannian optimization
Code
Code Available
1
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis
Oct 25, 2022
Classification
EEG
Code
Code Available
1
Tensor-Train Density Estimation
Jul 30, 2021
Density Estimation
Riemannian optimization
Code
Code Available
1
Fast hyperboloid decision tree algorithms
Oct 20, 2023
Benchmarking
Riemannian optimization
Code
Code Available
1
Poincaré Embeddings for Learning Hierarchical Representations
May 22, 2017
Graph Embedding
Representation Learning
Code
Code Available
1
Averaging Stochastic Gradient Descent on Riemannian Manifolds
Feb 26, 2018
Riemannian optimization
—
Unverified
0
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
Aug 29, 2022
Autonomous Driving
Riemannian optimization
—
Unverified
0
A Manifold Approach to Learning Mutually Orthogonal Subspaces
Mar 8, 2017
Domain Adaptation
Riemannian optimization
—
Unverified
0
Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds
Mar 27, 2021
Riemannian optimization
—
Unverified
0
Affinity guided Geometric Semi-Supervised Metric Learning
Feb 27, 2020
Metric Learning
Riemannian optimization
—
Unverified
0
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties
Nov 26, 2022
Open-Ended Question Answering
Riemannian optimization
—
Unverified
0
Faster Randomized Methods for Orthogonality Constrained Problems
Jun 22, 2021
Riemannian optimization
—
Unverified
0
Coupling Matrix Manifolds and Their Applications in Optimal Transport
Nov 15, 2019
Riemannian optimization
—
Unverified
0
Convergence results for projected line-search methods on varieties of low-rank matrices via Łojasiewicz inequality
Feb 21, 2014
Riemannian optimization
—
Unverified
0
A dual framework for low-rank tensor completion
Dec 4, 2017
Riemannian optimization
—
Unverified
0
Design of Artificial Interference Signals for Covert Communication Aided by Multiple Friendly Nodes
Apr 14, 2024
Riemannian optimization
—
Unverified
0
Differential Evolution for Grassmann Manifold Optimization: A Projection Approach
Mar 27, 2025
Riemannian optimization
—
Unverified
0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
Dec 16, 2023
Dictionary Learning
Riemannian optimization
—
Unverified
0
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