Jorge Silva
Ph.D. University of Southern California, USA
Profesor Asociado Proc. Estadístico de Señales; Estimación y Decisión Researcher
josilva@uchile.cl
https://www.researchgate.net/profile/Jorge-Silva-2
https://scholar.google.com/citations?user=hUZ1H5EAAAAJ&hl=es
2025
Ramírez, C., Silva, J. F., Tamssaouet, F., Rojas, T., & Orchard, M. E. (2025). Fault detection and monitoring using a data-driven information-based strategy: Method, theory, and application. Mechanical Systems and Signal Processing, 228, 112403. https://doi.org/10.1016/j.ymssp.2025.112403
2024
Faraggi, V., Silva, J. F., Ramírez, C., Egaña, A., & Pavez, E. (2024). Characterizing probabilistic structure in learning using information sufficiency. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 1–6. https://doi.org/10.1109/mlsp58920.2024.10734735
Ortega, J., Ramírez, C., Rojas, T., Tamssaouet, F., Orchard, M., & Silva, J. F. (2024). Unsupervised fault detection in a controlled conical tank. Annual Conference of the PHM Society, 16(1). https://doi.org/10.36001/phmconf.2024.v16i1.4137
Allendes, C., Beltrán, A., García, J. E., Troncoso-Kurtovic, D., Masserano, B., Schiele, B. B., Rivera, V., Jaramillo, F., Orchard, M. E., Silva, J. F., Rozas, H., & Rangarajan, S. (2024b). Modeling and simulation of thermal effects on electrical behavior in lithium-ion cells. Annual Conference of the PHM Society, 16(1). https://doi.org/10.36001/phmconf.2024.v16i1.4080
Bolufé, S., Silva, J. F., Azurdia-Meza, C. A., Soto, I., & Céspedes, S. (2024b). Road incident detection under rate adaptation-based congestion control in cooperative vehicular systems. IEEE Access, 12, 111899–111914. https://doi.org/10.1109/access.2024.3442230
Egaña, A. F., Ehrenfeld, A., Curotto, F., Sánchez-Pérez, J. F., & Silva, J. F. (2024). Stochastic image spectroscopy: A discriminative generative approach to hyperspectral image modelling and classification. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-69732-6
Vicuña, M. L., Silva, J. F., Méndez, R. A., Orchard, M. E., Espinosa, S., & Tregloan-Reed, J. (2024). Optimal photometry of point sources: Joint source flux and background determination on array detectors—from theory to practical implementation. Publications of the Astronomical Society of the Pacific, 136(1), 014501. https://doi.org/10.1088/1538-3873/ad0ca3
2023
Bustos, J. E. G., Schiele, B. B., Masserano, B., Silva, J. F., & Concha, M. O. (2023). Automated workstation for lithium-ion battery cycling, spectroscopy and custom profile for cell characterization. 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON 2023), 1–6. https://doi.org/10.1109/oncon60463.2023.10431101
Videla, M., Méndez, R. A., Silva, J. F., & Orchard, M. E. (2023). Optimal observational scheduling framework for binary and multiple stellar systems. Publications of the Astronomical Society of the Pacific, 135(1043), 014501. https://doi.org/10.1088/1538-3873/acaebc
2022
Silva, J. F., & Tobar, F. (2022). On the interplay between information loss and operation loss in representations for classification. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), Proceedings of Machine Learning Research, 151, 4853–4871. https://proceedings.mlr.press/v151/silva22b.html
Espinosa, S., Silva, J. F., & Piantanida, P. (2022). A data-driven quantization design for distributed testing against independence with communication constraints. ICASSP 2022 – IEEE International Conference on Acoustics, Speech and Signal Processing, 5238–5242. https://doi.org/10.1109/icassp43922.2022.9746197
Videla, M., Méndez, R. A., Clavería, R. M., Silva, J. F., & Orchard, M. E. (2022). Bayesian inference in single-line spectroscopic binaries with a visual orbit. The Astronomical Journal, 163(5), 220. https://doi.org/10.3847/1538-3881/ac5ab4
2021
Silva, J. F., & Piantanida, P. (2021). On universal D-semifaithful coding for memoryless sources with infinite alphabets. IEEE Transactions on Information Theory, 68(4), 2782–2800. https://doi.org/10.1109/tit.2021.3134891
Gonzalez, M., Silva, J., Videla, M., & Orchard, M. (2021). Data-driven representations for testing independence: Modeling, analysis and connection with mutual information estimation. IEEE Transactions on Signal Processing, 70, 158–173. https://doi.org/10.1109/tsp.2021.3135689
Silva, J. F. (2021). Compressibility analysis of asymptotically mean stationary processes. Applied and Computational Harmonic Analysis, 56, 61–97. https://doi.org/10.1016/j.acha.2021.08.002
Espinosa, S., Silva, J. F., & Piantanida, P. (2021). On the exponential approximation of Type II error probability of distributed test of independence. IEEE Transactions on Signal and Information Processing over Networks, 7, 777–790. https://doi.org/10.1109/tsipn.2021.3133192
Villegas, C., Méndez, R. A., Silva, J. F., & Orchard, M. E. (2021). Bayes-based orbital elements estimation in triple hierarchical stellar systems. Publications of the Astronomical Society of the Pacific, 133(1025), 084401. https://doi.org/10.1088/1538-3873/ac0239
Tobar, F., Bravo-Marquez, F., Dunstan, J., Fontbona, J., Maass, A., Remenik, D., & Silva, J. F. (2021). Data science for engineers: A teaching ecosystem. IEEE Signal Processing Magazine, 38(3), 144–153. https://doi.org/10.1109/msp.2021.3053551
Espinosa, S., Silva, J. F., & Piantanida, P. (2021a). Finite-length bounds on hypothesis testing subject to vanishing Type I error restrictions. IEEE Signal Processing Letters, 28, 229–233. https://doi.org/10.1109/lsp.2021.3050381
2020
Santibáñez-Leal, F. A., Ortiz, J. M., & Silva, J. F. (2020). Ore-waste discrimination with adaptive sampling strategy. Natural Resources Research, 29(5), 3079–3102. https://doi.org/10.1007/s11053-020-09625-3
Gonzalez, M. E., & Silva, J. F. (2020). Data-driven representations for testing independence: A connection with mutual information estimation. 2022 IEEE International Symposium on Information Theory (ISIT), 11, 1301–1306. https://doi.org/10.1109/isit44484.2020.9174158
Calderón, H., Santibáñez, F., Silva Sánchez, J., Ortiz, J., & Egaña, Á. (2020). Geological facies recovery based on weighted l(1)-regularization. Disponible en https://repositorio.uchile.cl/handle/2250/177323
Multimodal Context-aware Prognostic Methods for Informed Real-time Decision-making in Dynamic Systems
- Investigadores: M. Orchard / J. Silva
- Código: 1250036
- Inicio: 01/03/2025
- Fin: 01/03/2029
- Programa: Fondecyt_Anid
Mutual Information for Representation Learning and Model Drift Detection: Theory, Methods and Applications
- Investigadores: J. Silva / M. Orchard, F. Bravo
- Código: 1250098
- Inicio: 01/03/2025
- Fin: 01/03/2029
- Programa: Fondecyt_Anid
AI based battery state-of-health-aware management operating system for micro e-mobility, e-fleet mission planning and energy back-up
- Investigadores: H. Rozas, M. Orchard, J. Silva
- Código: TA24I10053
- Inicio: 01/07/2024
- Fin: 01/07/2028
- Programa: Subdirección de Investigación Aplicada
A Hidden-Markov-Model-based Failure Prognostic Framework for Real-time Prognostic Decision Making
- Investigadores: M. Orchard / D. Sáez, J. Silva
- Código: 1210031
- Inicio: 01/03/2021
- Fin: 01/03/2025
- Programa: Fondecyt_Anid
Topics on Information Theory Applied to Machine Learning and Decision: Theory, Methods, and Applications
- Investigadores: J. Silva / M. Orchard
- Código: 1210315
- Inicio: 01/03/2021
- Fin: 01/03/2025
- Programa: Fondecyt_Anid
| Autores | Título | Año |
| Abarca González, Natalia Andrea | Diseño e implementación de un módulo de explicabilidad para DashAI | 2024 |
| Rojas Navarrete, Consuelo Belén Paz | Estudio estadístico y predictivo de defectos en ondas gravito-capilares generadas por forzamiento paramétrico | 2024 |
| Barceló Soltmann, Roberto Joaquín Rodolfo | Reinforcement learning enhanced generative replay for continual learning in diffusion models a comprehensive study of existing and novel methodologies | 2024 |
| Oñate Oyaneder, Eduardo Alexis | Caracterización del modelo TitaNet-L de NVIDIA para reconocimiento de hablantes en español | 2024 |
| Guerra Palma, Rodrigo Esteban | Normalization and survival analysis of pediatric bone marrow transplant | 2024 |
| Espinosa Trujillo, Sebastián Andrés | Finite-length performance analysis and data-driven design for hypothesis testing An information theoretic perspective | 2023 |
| Ortega Vásquez, Joaquín Ignacio | Detección de obsolescencia de modelos mediante la aplicación de test de información mutua | 2023 |
| Godoy Portioli, Matías David | Clasificación de estados de conciencia cerebrales usando modelos ocultos de Markov | 2023 |
| Vicuña Álvarez, Mario Lorenzo | Performance analysis of the weighted least-squares and maximum likelihood estimators in the joint estimation of source flux and background | 2022 |
| Videla Araya, Miguel Ignacio | Bayesian inference in hierarchical Stellar systems | 2021 |
| Córdova Huenupil, Felipe Ignacio Alejandro | Optimal sampling method for uncertainty reduction of orbital parameters on binary systems | 2021 |
| González Gutiérrez, Mauricio Esteban | A fast-running failure prognostic algorithm based on a non-homogeneous markov chain | 2021 |
| Villegas Mardones, Constanza Luisa | Bayes-based orbital parameters estimation in triple hierarchical stellar systems | 2020 |