M. Pérez-Carrasco

activity

20212026

most citedSearching for changing-state AGNs in massive datasets -- I: applying deep learning and anomaly detection techniques to find AGNs with anomalous variability behaviours

48 citations · 59 across the 6 of their papers we have counts for

collaborators

Showing cs.LGShow all

2 papers · 1 filter

cs.LG2023

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories

Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernández-García +8

With the increasing volume of astronomical data generated by modern survey telescopes, automated pipelines and machine learning techniques have become crucial for analyzing and ext…

cs.LG2022★ 6 cited

Con $^{2}$ DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

Manuel Pérez-Carrasco, Pavlos Protopapas, Guillermo Cabrera-Vives

In this work, we present Con $^{2}$ DA, a simple framework that extends recent advances in semi-supervised learning to the semi-supervised domain adaptation (SSDA) problem. Our frame…

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories

Con2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

Con $^{2}$ DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations