repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 24d ago
pyRiemann/pyRiemann
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 46%Characterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization →
- PossiblePossibly related (embedding) · 46%Hamiltonian Neural Networks from a Differential Geometry Perspective [D] →
- PossiblePossibly related (embedding) · 45%Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity →
- PossiblePossibly related (embedding) · 48%Graph-Regularized Low-Rank Matrix Completion by Variable Projection →
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paperGraph-Regularized Low-Rank Matrix Completion by Variable ProjectionpaperCharacterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and LocalizationnewsHamiltonian Neural Networks from a Differential Geometry Perspective [D]paperFast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity