| State Estimation in Electric Power Systems Leveraging Graph Neural Networks | Jan 11, 2022 | Graph Neural NetworkState Estimation | CodeCode Available | 1 |
| Neural optimal feedback control with local learning rules | Nov 12, 2021 | State Estimation | CodeCode Available | 1 |
| Robust Moving Target Defence Against False Data Injection Attacks in Power Grids | Nov 11, 2021 | State Estimation | CodeCode Available | 1 |
| Online Variational Filtering and Parameter Learning | Oct 26, 2021 | State EstimationState Space Models | CodeCode Available | 1 |
| Dynamical Wasserstein Barycenters for Time-series Modeling | Oct 13, 2021 | State EstimationTime Series | CodeCode Available | 1 |
| Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks | Sep 28, 2021 | Collision AvoidanceDecoder | CodeCode Available | 1 |
| Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers | Sep 8, 2021 | State Estimation | CodeCode Available | 1 |
| Saliency-Associated Object Tracking | Aug 8, 2021 | ObjectObject Tracking | CodeCode Available | 1 |
| KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics | Jul 21, 2021 | State Estimation | CodeCode Available | 1 |
| Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness | Jul 16, 2021 | Loop Closure DetectionState Estimation | CodeCode Available | 1 |
