| Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks | Jul 23, 2022 | Graph Neural NetworkState Estimation | CodeCode Available | 1 | 5 |
| AirSim Drone Racing Lab | Mar 12, 2020 | BenchmarkingOptical Flow Estimation | CodeCode Available | 1 | 5 |
| Dynamical Wasserstein Barycenters for Time-series Modeling | Oct 13, 2021 | State EstimationTime Series | CodeCode Available | 1 | 5 |
| Deep State-Space Gaussian Processes | Aug 11, 2020 | Gaussian Processesregression | CodeCode Available | 1 | 5 |
| Deep Ensemble Learning-based Approach to Real-time Power System State Estimation | Jan 10, 2021 | Ensemble LearningState Estimation | CodeCode Available | 1 | 5 |
| AI-Aided Kalman Filters | Oct 16, 2024 | State Estimation | CodeCode Available | 1 | 5 |
| A New Framework for Nonlinear Kalman Filters | Jul 8, 2024 | State Estimation | CodeCode Available | 1 | 5 |
| An information field theory approach to Bayesian state and parameter estimation in dynamical systems | Jun 3, 2023 | parameter estimationState Estimation | CodeCode Available | 1 | 5 |
| Deep Statistical Solver for Distribution System State Estimation | Jan 4, 2023 | State EstimationWeakly-supervised Learning | CodeCode Available | 1 | 5 |
| A Digital Twin of an Electrical Distribution Grid: SoCal 28-Bus Dataset | Apr 9, 2025 | State Estimation | CodeCode Available | 1 | 5 |
