34 citations · 66 across the 15 of their papers we have counts for
5 papers · 1 filter
Leveraging Transfer Learning for Astronomical Image Analysis
Stefano Cavuoti, Lars Doorenbos, Demetra De Cicco +7
The exponential growth of astronomical data from large-scale surveys has created both opportunities and challenges for the astrophysics community. This paper explores the possibili…
Identification of problematic epochs in astronomical time series through transfer learning
Stefano Cavuoti, Demetra De Cicco, Lars Doorenbos +4
We present a novel method for detecting outliers in astronomical time series based on the combination of a deep neural network and a k-nearest neighbor algorithm with the aim of id…
Generating astronomical spectra from photometry with conditional diffusion models
Lars Doorenbos, Stefano Cavuoti, Giuseppe Longo +3
A trade-off between speed and information controls our understanding of astronomical objects. Fast-to-acquire photometric observations provide global properties, while costly and t…
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection
Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti +5
Modern sky surveys are producing ever larger amounts of observational data, which makes the application of classical approaches for the classification and analysis of objects chall…
Comparison of outlier detection methods on astronomical image data
Lars Doorenbos, Stefano Cavuoti, Massimo Brescia +2
Among the many challenges posed by the huge data volumes produced by the new generation of astronomical instruments there is also the search for rare and peculiar objects. Unsuperv…