{"total":53,"rows":[{"id":"2308.13234","title":"Decoding Natural Images from EEG for Object Recognition","created":"2023-08-25","cited_by_count":81,"area":null},{"id":"2408.06788","title":"Visual Neural Decoding via Improved Visual-EEG Semantic Consistency","created":"2024-08-13","cited_by_count":21,"area":null},{"id":"2410.20081","title":"emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography","created":"2024-10-26","cited_by_count":18,"area":null},{"id":"2211.02641","title":"Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis","created":"2022-10-25","cited_by_count":15,"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":"2405.19206","title":"Matrix Manifold Neural Networks++","created":"2024-05-29","cited_by_count":13,"area":null},{"id":"2505.18193","title":"Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry","created":"2025-05-20","cited_by_count":13,"area":"diffusion"},{"id":"2411.07249","title":"SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG","created":"2024-10-26","cited_by_count":12,"area":null},{"id":"2212.10426","title":"Deep Riemannian Networks for End-to-End EEG Decoding","created":"2022-12-20","cited_by_count":11,"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":"2407.03878","title":"Geodesic Optimization for Predictive Shift Adaptation on EEG data","created":"2024-07-04","cited_by_count":10,"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":"2407.14303","title":"Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment","created":"2024-07-19","cited_by_count":6,"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":"2601.01097","title":"Neural Networks on Symmetric Spaces of Noncompact Type","created":"2026-01-03","cited_by_count":6,"area":null},{"id":"2211.11460","title":"Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training","created":"2022-11-21","cited_by_count":5,"area":null},{"id":"2309.07159","title":"A Strong and Simple Deep Learning Baseline for BCI MI Decoding","created":"2023-09-11","cited_by_count":5,"area":null},{"id":"2403.05645","title":"Geometric Neural Network based on Phase Space for BCI-EEG decoding","created":"2024-03-08","cited_by_count":5,"area":null},{"id":"2311.16109","title":"Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets","created":"2023-09-04","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":"2405.19345","title":"Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations","created":"2024-05-17","cited_by_count":3,"area":null},{"id":"2410.07117","title":"Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models","created":"2024-09-20","cited_by_count":3,"area":null},{"id":"2509.24761","title":"Spatial-Functional awareness Transformer-based graph archetype contrastive learning for Decoding Visual Neural Representations from EEG","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2604.20308","title":"Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning","created":"2026-04-22","cited_by_count":3,"area":null},{"id":"2604.27033","title":"Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods","created":"2026-04-29","cited_by_count":3,"area":null},{"id":"2402.03345","title":"Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications","created":"2024-01-24","cited_by_count":2,"area":null},{"id":"2405.00734","title":"EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations","created":"2024-04-29","cited_by_count":2,"area":null},{"id":"2503.04582","title":"PSDNorm: Test-Time Temporal Normalization for Deep Learning in Sleep Staging","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2510.14666","title":"Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings","created":"2025-10-16","cited_by_count":2,"area":null},{"id":"2601.03322","title":"HEEGNet: Hyperbolic Embeddings for EEG","created":"2026-01-06","cited_by_count":2,"area":null},{"id":"2602.22895","title":"SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2604.12579","title":"EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts","created":"2026-04-14","cited_by_count":2,"area":null},{"id":"2604.22494","title":"FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet","created":"2026-04-24","cited_by_count":2,"area":null},{"id":"2405.01277","title":"Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance","created":"2024-05-02","cited_by_count":1,"area":null},{"id":"2405.06558","title":"Random matrix theory improved Fr\\'echet mean of symmetric positive definite matrices","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2410.09210","title":"Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2305.18831","title":"Convolutional Monge Mapping Normalization for learning on sleep data","created":"2023-05-30","cited_by_count":0,"area":null},{"id":"2312.07213","title":"Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2401.08851","title":"Using i-vectors for subject-independent cross-session EEG transfer learning","created":"2024-01-16","cited_by_count":0,"area":null},{"id":"2508.11357","title":"PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding","created":"2025-08-15","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":"2603.19776","title":"ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2605.00467","title":"Batch Normalization for Neural Networks on Complex Domains","created":"2026-05-01","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":"2605.31043","title":"Escaping the Capacity Ceiling: Routing on the Stiefel Manifold for Bilinear SPD Layers","created":"2026-05-29","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":"2607.00358","title":"PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition","created":"2026-07-01","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":"2607.16894","title":"TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching","created":"2026-07-18","cited_by_count":0,"area":"diffusion"},{"id":"2608.05315","title":"Rectifying Geometric Misalignment: Online Source-Free Adaptation for Class-Imbalanced EEG","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2609.04466","title":"Nested Inductive Bias Framework for SPD Manifold Learning","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}