{"total":17,"rows":[{"id":"2311.16602","title":"GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering","created":"2023-11-28","cited_by_count":10,"area":null},{"id":"2410.12289","title":"AI-Aided Kalman Filters","created":"2024-10-16","cited_by_count":3,"area":null},{"id":"2501.05982","title":"Deep Variational Sequential Monte Carlo for High-Dimensional Observations","created":"2025-01-10","cited_by_count":2,"area":null},{"id":"2504.00599","title":"Near Field Localization via AI-Aided Subspace Methods","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2605.24860","title":"DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2408.11348","title":"Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2507.17284","title":"Energy-Efficient State Estimation with 1-Bit Sensing: A Bussgang-Kalman Framework for Internet of Things","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2507.21541","title":"Sun sensor calibration algorithms: A systematic mapping and survey","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2509.11323","title":"Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encoding","created":"2025-09-14","cited_by_count":0,"area":null},{"id":"2509.24725","title":"Q-Net: Queue Length Estimation via Kalman-based Neural Networks","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2510.27503","title":"pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2511.09569","title":"Filtering Jump Markov Systems with Partially Known Dynamics: A Model-Based Deep Learning Approach","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2601.21887","title":"VSE: Variational state estimation of complex model-free process","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2606.28441","title":"Learning to Distributedly Estimate under Partially Known Dynamics: A Covariance-Agnostic Neural Kalman Consensus Filter","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2607.00877","title":"Hierarchical Variational Kalman Filtering","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.12544","title":"Edge-Aware Thermal Infrared UAV Swarm Tracking","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2608.04201","title":"Unscented KalmanNet: Structure-Preserving Deep Learning with Calibrated Posterior Uncertainty under Incomplete Physics and Unknown Noise","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}