no code implementations • 15 Aug 2023 • Guillermo Cabrera-Vives, César Bolivar, Francisco Förster, Alejandra M. Muñoz Arancibia, Manuel Pérez-Carrasco, Esteban Reyes
Time domain astronomy is advancing towards the analysis of multiple massive datasets in real time, prompting the development of multi-stream machine learning models.
1 code implementation • 9 Aug 2023 • Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernández-García, Francisco Forster, Paula Sánchez-Sáez, Alejandra Muñoz Arancibia, Nicolás Astorga, Franz Bauer, Amelia Bayo, Martina Cádiz-Leyton, Marcio Catelan
Our results demonstrate the efficacy of MCDSVDD in detecting anomalous sources while leveraging the presence of different inlier categories.
1 code implementation • 4 Apr 2022 • Manuel Pérez-Carrasco, Pavlos Protopapas, Guillermo Cabrera-Vives
We use different loss functions to enforce consistency between the feature representations of associated data pairs of samples.
no code implementations • 25 Sep 2019 • Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Pavlos Protopapas, Nicolás Astorga, Marouan Belhaj
In this work we address the problem of transferring knowledge obtained from a vast annotated source domain to a low labeled target domain.