| 2025 | FUSION | Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter. | Dalton Durant, Renato Zanetti |
| 2025 | FUSION | Optimal Transport as a Reduction Technique for Deterministic Nonlinear Filtering. | Felipe Giraldo-Grueso, Andrey A. Popov, Uwe D. Hanebeck, Renato Zanetti |
| 2024 | FUSION | What are You Weighting For? Improved Weights for Gaussian Mixture Filtering. | Dalton Durant, Andrey A. Popov, Renato Zanetti |
| 2024 | FUSION | Gaussian Mixture-Based Point Mass Filtering. | Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti |
| 2024 | FUSION | Burnished Flow Filter. | Rachel Mamich, Kristen Michaelson, Andrey A. Popov, Renato Zanetti |
| 2024 | FUSION | Particle Flow with a Continuous Formulation of the Nonlinear Measurement Update. | Kristen Michaelson, Andrey A. Popov, Renato Zanetti, Kyle J. DeMars |
| 2024 | FUSION | Are Non-Gaussian Kernels Suitable for Ensemble Mixture Model Filtering? | Andrey A. Popov, Renato Zanetti |
| 2023 | FUSION | Ensemble Kalman Filter with Bayesian Recursive Update. | Kristen Michaelson, Andrey A. Popov, Renato Zanetti |
| 2023 | FUSION | Ensemble Gaussian Mixture Filtering with Particle-localized Covariances. | Andrey A. Popov, Renato Zanetti |
| 2023 | FUSION | Large-Scale Space Object Tracking in a Proliferated LEO Scenario. | Benjamin L. Reifler, Andrey A. Popov, Brandon A. Jones, Renato Zanetti |
| 2022 | FUSION | Particle Filter with LMMSE Importance Sampling. | Bryan Pogorelsky, Kristen Michaelson, Renato Zanetti |
| 2021 | FUSION | Bayesian Estimation with Artificial Neural Network. | Sehyun Yun, Renato Zanetti |
| 2020 | FUSION | Nonlinear Filtering with a Polynomial Series of Gaussian Random Variables. | Simone Servadio, Renato Zanetti, Brandon A. Jones |
| 2018 | FUSION | A Novel Gaussian Mixture Approximation for Nonlinear Estimation. | Renato Zanetti, Kirsten Tuggle |