| A framework for constrained static state estimation in unbalanced distribution networks | Nov 23, 2020 | State Estimation | CodeCode Available | 1 | 5 |
| Deep Statistical Solver for Distribution System State Estimation | Jan 4, 2023 | State EstimationWeakly-supervised Learning | CodeCode Available | 1 | 5 |
| Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors | May 28, 2018 | State Estimation | CodeCode Available | 1 | 5 |
| Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks | Jul 23, 2022 | Graph Neural NetworkState Estimation | CodeCode Available | 1 | 5 |
| AI-Aided Kalman Filters | Oct 16, 2024 | State Estimation | CodeCode Available | 1 | 5 |
| Online Variational Filtering and Parameter Learning | Oct 26, 2021 | State EstimationState Space Models | CodeCode Available | 1 | 5 |
| Dynamical Wasserstein Barycenters for Time-series Modeling | Oct 13, 2021 | State EstimationTime Series | CodeCode Available | 1 | 5 |
| Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT Navigation | May 10, 2025 | Depth EstimationDepth Prediction | CodeCode Available | 1 | 5 |
| Accurate and Interactive Visual-Inertial Sensor Calibration with Next-Best-View and Next-Best-Trajectory Suggestion | Sep 25, 2023 | State Estimation | CodeCode Available | 1 | 5 |
| AirSim Drone Racing Lab | Mar 12, 2020 | BenchmarkingOptical Flow Estimation | CodeCode Available | 1 | 5 |
