48 citations · 63 across the 4 of their papers we have counts for
8 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…