{"total":21,"rows":[{"id":"2303.15477","title":"Adaptive Log-Euclidean Metrics for SPD Matrix Learning","created":"2023-03-26","cited_by_count":13,"area":null},{"id":"2305.19903","title":"Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization","created":"2023-05-31","cited_by_count":12,"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":"2403.11261","title":"A Lie Group Approach to Riemannian Batch Normalization","created":"2024-03-17","cited_by_count":8,"area":null},{"id":"2409.19433","title":"RMLR: Extending Multinomial Logistic Regression into General Geometries","created":"2024-09-28","cited_by_count":8,"area":null},{"id":"2504.00660","title":"Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry","created":"2025-04-01","cited_by_count":7,"area":null},{"id":"2401.02771","title":"Powerformer: A Section-adaptive Transformer for Power Flow Adjustment","created":"2024-01-05","cited_by_count":5,"area":null},{"id":"2311.16738","title":"Riemannian Self-Attention Mechanism for SPD Networks","created":"2023-11-28","cited_by_count":4,"area":null},{"id":"2510.17072","title":"DFNN: A Deep Fr\\'echet Neural Network Framework for Learning Metric-Space-Valued Responses","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2602.03591","title":"High-Resolution Underwater Camouflaged Object Detection: GBU-UCOD Dataset and Topology-Aware and Frequency-Decoupled Networks","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2502.08137","title":"Riemannian Complex Hermit Positive Definite Convolution Network for Polarimetric SAR Image Classification","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2511.08628","title":"Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Network","created":"2025-11-09","cited_by_count":0,"area":null},{"id":"2602.22981","title":"RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.19601","title":"K-GMRF: Kinetic Gauss-Markov Random Field for First-Principles Covariance Tracking on Lie Groups","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2603.19776","title":"ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2605.19073","title":"Riemannian Networks over Full-Rank Correlation Matrices","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.06104","title":"A Sliced-Wasserstein Framework on Correlation Matrices for EEG Decoding","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.25456","title":"Towards Robust EEG Decoding Based on Riemannian Self-Attention","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.08783","title":"LieBN: Batch Normalization over Lie Groups","created":"2026-06-13","cited_by_count":0,"area":null},{"id":"2609.30487","title":"Geometric Feature Learning for Functional Data Valued on the Symmetric Positive Definite Manifold","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}