{"total":16,"rows":[{"id":"2304.05398","title":"Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space","created":"2023-04-10","cited_by_count":36,"area":null},{"id":"2412.13148","title":"SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training","created":"2024-12-17","cited_by_count":20,"area":null},{"id":"2303.15477","title":"Adaptive Log-Euclidean Metrics for SPD Matrix Learning","created":"2023-03-26","cited_by_count":13,"area":null},{"id":"2305.11288","title":"Riemannian Multinomial Logistics Regression for SPD Neural Networks","created":"2023-05-18","cited_by_count":11,"area":null},{"id":"2407.10484","title":"Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry","created":"2024-07-15","cited_by_count":9,"area":null},{"id":"2502.06742","title":"Gradient Multi-Normalization for Stateless and Scalable LLM Training","created":"2025-02-10","cited_by_count":9,"area":null},{"id":"2504.18882","title":"SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges","created":"2025-04-26","cited_by_count":6,"area":null},{"id":"2212.05599","title":"Orthogonal SVD Covariance Conditioning and Latent Disentanglement","created":"2022-12-11","cited_by_count":5,"area":null},{"id":"2207.02119","title":"Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality","created":"2022-07-05","cited_by_count":4,"area":null},{"id":"2407.02607","title":"Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry","created":"2024-07-02","cited_by_count":4,"area":null},{"id":"2601.22137","title":"PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training","created":"2026-01-29","cited_by_count":4,"area":null},{"id":"2207.04228","title":"Batch-efficient EigenDecomposition for Small and Medium Matrices","created":"2022-07-09","cited_by_count":2,"area":null},{"id":"2507.21750","title":"Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal","created":"2025-07-29","cited_by_count":2,"area":null},{"id":"2401.08860","title":"Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization","created":"2024-01-16","cited_by_count":1,"area":null},{"id":"2602.09530","title":"Learning to Discover Iterative Spectral Algorithms","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2604.27325","title":"A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition","created":"2026-04-30","cited_by_count":0,"area":null}],"next_cursor":null}