Gastón García González

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Multivariate Time Series

Anomaly Detection

Top Venues

EuroS&P Workshops

SIGMETRICS Perform. Evaluation Rev.

IEEE Trans. Netw. Serv. Manag.

Publications

Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández
Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis. TMA (2024)
Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez Sena, José Acuña, Pedro Casas
One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data. IEEE Trans. Netw. Serv. Manag. 21 (2) (2024)
Gastón García González, Pedro Casas, Alicia Fernández
Fake it till you Detect it: Continual Anomaly Detection in Multivariate Time-Series using Generative AI. EuroS&P Workshops (2023)
Gastón García González, Pedro Casas, Alicia Fernández
Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders. TMA (2023)
Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez, José Acuña, Pedro Casas
DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders. EuroS&P Workshops (2022)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders. IMC (2022)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. SIGMETRICS Perform. Evaluation Rev. 48 (4) (2021)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
Network anomaly detection with net-GAN, a generative adversarial network for analysis of multivariate time-series. SIGCOMM Posters and Demos (2020)
Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. CoRR (2020)