196 citations · 273 across the 10 of their papers we have counts for
10 papers
ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
Antony Tan, Pavlos Protopapas, Martina Cádiz-Leyton +3
We present AstroCo, a Conformer-style encoder for irregular stellar light curves. By combining attention with depthwise convolutions and gating, AstroCo captures both global depend…
Leveraging pre-trained vision Transformers for multi-band photometric light curve classification
Daniel Moreno-Cartagena, Pavlos Protopapas, Guillermo Cabrera-Vives +3
This study investigates the potential of a pre-trained vision Transformer (VT) model, specifically the Swin Transformer V2 (SwinV2), to classify photometric light curves without th…
Astromer 2
Cristobal Donoso-Oliva, Ignacio Becker, Pavlos Protopapas +3
Foundational models have emerged as a powerful paradigm in deep learning field, leveraging their capacity to learn robust representations from large-scale datasets and effectively…
Uncertainty estimation for time series classification: Exploring predictive uncertainty in transformer-based models for variable stars
Martina Cádiz-Leyton, Guillermo Cabrera-Vives, Pavlos Protopapas +3
Classifying variable stars is key for understanding stellar evolution and galactic dynamics. With the demands of large astronomical surveys, machine learning models, especially att…
Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified Instances
Martina Cádiz-Leyton, Guillermo Cabrera-Vives, Pavlos Protopapas +2
In this work, we present a framework for estimating and evaluating uncertainty in deep-attention-based classifiers for light curves for variable stars. We implemented three techniq…
Astrometric and photometric characterization of Tel B combining two decades of observations
P. H. Nogueira, C. Lazzoni, A. Zurlo +11
Tel is an 18 Myr system with a 2.09 M A-type star and an M7-M8 brown dwarf companion, Tel B, separated by 4.2'' (208 au). High-contrast imaging campaigns over 20…
Positional Encodings for Light Curve Transformers: Playing with Positions and Attention
Daniel Moreno-Cartagena, Guillermo Cabrera-Vives, Pavlos Protopapas +3
We conducted empirical experiments to assess the transferability of a light curve transformer to datasets with different cadences and magnitude distributions using various position…
Searching for changing-state AGNs in massive datasets -- I: applying deep learning and anomaly detection techniques to find AGNs with anomalous variability behaviours
P. Sánchez-Sáez, H. Lira, L. Martí +14
The classic classification scheme for Active Galactic Nuclei (AGNs) was recently challenged by the discovery of the so-called changing-state (changing-look) AGNs (CSAGNs). The phys…
The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves
C. Donoso-Oliva, G. Cabrera-Vives, P. Protopapas +2
In the new era of very large telescopes, where data is crucial to expand scientific knowledge, we have witnessed many deep learning applications for the automatic classification of…
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
F. Förster, G. Cabrera-Vives, E. Castillo-Navarrete +37
We introduce the Automatic Learning for the Rapid Classification of Events (ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self--consistent classifica…