| Unsupervised learning of sampling distributions for particle filters F Gama, N Zilberstein, M Sevilla, RG Baraniuk, S Segarra IEEE Transactions on Signal Processing, 2023 | 4 | 2023 |
| Bayesian topology inference on partially known networks from input-output pairs M Sevilla, S Segarra ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
| Estimation of partially known Gaussian graphical models with score-based structural priors M Sevilla, AG Marques, S Segarra International Conference on Artificial Intelligence and Statistics, 1558-1566, 2024 | 1 | 2024 |
| End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks B Cox, S Pérez-Vieites, N Zilberstein, M Sevilla, S Segarra, V Elvira ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| State and Dynamics Estimation with the Kalman-Langevin filter M Sevilla, N Zilberstein, B Cox, S Pérez-Vieites, V Elvira, S Segarra 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1372-1376, 2023 | | 2023 |
Santiago SegarraAssistant Professor, Electrical and Computer Engineering, Rice UniversityVerified email at rice.edu
