Listar por Materia VAE
Mostrando resultados 1 a 9 de 9
| Fecha de publicación | Título | Autor(es) |
| 2025 | ASTELCO : An augmented sparse time series dataset with generative models. | Sánchez Laguardia, Manuel; García González, Gastón; Martínez, Emilio; Martínez Tagliafico, Sergio; Fernández, Alicia; Gómez, Gabriel |
| 2022 | DC-VAE, Fine-grained anomaly detection in multivariate time-series with dilated convolutions and variational auto encoders | García González, Gastón; Martínez Tagliafico, Sergio; Fernández, Alicia; Gómez, Gabriel; Acuña, José; Casas, Pedro |
| 2025 | Deep generative models for time-series anomaly detection. | García González, Gastón |
| 2023 | Deep generative replay for multivariate time-series monitoring with variational autoencoders. | García González, Gastón; Casas, Pedro; Fernández, Alicia |
| 2023 | Fake it till you detect it : Continual anomaly detection in multivariate time-series using generative AI. | García González, Gastón; Casas, Pedro; Fernández, Alicia |
| 2022 | Mining multivariate time-series for anomaly detection in mobile networks on the usage of variational auto encoders and dilated convolutions | García González, Gastón; Martínez Tagliafico, Sergio; Fernández, Alicia; Gómez, Gabriel; Acuña, José; Mariño, Camilo; Casas, Pedro |
| 2024 | On the quest for foundation generative-AI models for anomaly detection in time-series data. | García González, Gastón; Casas, Pedro; Martínez, Emilio; Fernández, Alicia |
| 2024 | Timeless foundations : Exploring DC-VAEs as foundation models for time series analysis. | García González, Gastón; Casas, Pedro; Martínez, Emilio; Fernández, Alicia |
| 2024 | Towards foundation auto-encoders for time-series anomaly detection. | García González, Gastón; Casas, Pedro; Martínez, Emilio; Fernández, Alicia |
