This repository offers a collection of recent learning-aided filter research papers. Task including sensor fusion, target tracking and so on , with links to code and resources. Many algorithms have been implemented in a unified filternet.
🚩 2025/7/3: Add Some Survey Papers.
🚩 2025/5/9: Add Some Survey Papers.
| Paper Name | Code | Source |
|---|---|---|
| Artificial Intelligence-Aided Kalman Filters: AI-Augmented Designs for Kalman-Type Algorithms | None | IEEE Signal Processing Magazine 2025 |
| Paper Name | Code | Source |
|---|---|---|
| Model-Based Deep Learning | None | Proceedings of the IEEE 2023 |
| State of art on state estimation: kalman filter driven by machine learning | None | Annual Reviews in Control 2023 |
| Paper Name | Code | Source |
|---|---|---|
| Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization | None | IEEE Access 2022 |
| Paper Name | Code | Source |
|---|---|---|
| DANSE: data-driven non-linear state estimation of model-free process in unsupervised learning setup | Code | IEEE Transactions on Signal Processing 2024 |
| Practical Implementation of KalmanNet for Accurate Data Fusion in Integrated Navigation | Code | IEEE Signal Processing Letters 2024 |
| Cholesky-KalmanNet: Model-Based Deep Learning With Positive Definite Error Covariance Structure | Code | IEEE Signal Processing Letters 2024 |
| GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering | Code | IEEE Transactions on Signal Processing 2024 |
| Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation | Code | ICASSP 2024 |
| Uncertainty Quantification in Deep Learning Based Kalman Filters | Code | ICASSP 2024 (Conference version of the paper.) |
| RobustStateNet: Robust ego vehicle state estimation for Autonomous Driving | None | Robotics and Autonomous Systems 2024 |
| Paper Name | Code | Source |
|---|---|---|
| Split-KalmanNet: A Robust Model-Based Deep Learning Approach for State Estimation | Code | IEEE Transactions on Vehicular Technology 2023 |
| DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Bayesian Setup | Code | EUSIPCO 2023 (Conference version of the paper.) |
| Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional Signals | Code | IEEE Transactions on Signal Processing 2023 |
| RTSNet: Learning to Smooth in Partially Known State-Space Models | Code | IEEE Transactions on Signal Processing 2023 |
| Dynamical Variational Autoencoders and KalmanNet: New Approaches to Robust HighPrecision Navigation | None | ISPRS 2023 |
| Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading | Code | ICASSP 2023 |
| Paper Name | Code | Source |
|---|---|---|
| KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics | Code | IEEE Transactions on Signal Processing 2022 |
| Unsupervised Learned Kalman Filtering | Code | EUSIPCO 2022 |
| RTSNet: Deep Learning Aided Kalman Smoothing | Code | ICASSP 2022 (Conference version of the paper.) |
| Paper Name | Code | Source |
|---|---|---|
| Kalmannet: Data-Driven Kalman Filtering | Code | ICASSP 2021 (Conference version of the paper.) |
| DynaNet: neural kalman dynamical model for motion estimation and prediction | None | IEEE Transactions on Neural Networks and Learning Systems 2021 |
| Paper Name | Code | Source |
|---|---|---|
| AI-IMU Dead-Reckoning | Code | IEEE Transactions on Intelligent Vehicles 2020 |
| Paper Name | Code | Source |
|---|---|---|
| Structured inference networks for nonlinear state space models | Code | AAAI 2017 |
| Paper Name | Code | Source |
|---|---|---|
| Backprop KF: Learning Discriminative Deterministic State Estimators | None | NIPS 2016 |
| Paper Name | Code | Source |
|---|---|---|
| Deep kalman filters | Code | arXiv 2015 (Preprint version of the paper.) |