Cover Image

Uncertainty estimation for time series classification: Exploring predictive uncertainty in transformer-based models for variable stars

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cádiz-Leyton, Martina, Cabrera-Vives, Guillermo, Protopapas, Pavlos, Moreno-Cartagena, Daniel, Donoso-Oliva, Cristobal, Becker, Ignacio
Format:	Preprint
Published:	2024
Subjects:	Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging pre-trained vision Transformers for multi-band photometric light curve classification
by: Moreno-Cartagena, Daniel, et al.
Published: (2025)

Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified Instances
by: Cádiz-Leyton, Martina, et al.
Published: (2024)

Astromer 2
by: Donoso-Oliva, Cristobal, et al.
Published: (2025)

Astro-MoE: Mixture of Experts for Multiband Astronomical Time Series
by: Cádiz-Leyton, Martina, et al.
Published: (2025)

ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
by: Tan, Antony, et al.
Published: (2025)

Applying Vision Transformers on Spectral Analysis of Astronomical Objects
by: Moraes, Luis Felipe Strano, et al.
Published: (2025)

Multivariate Time-series Transformer Embeddings for Light Curves
by: Chiong, Gabriel, et al.
Published: (2025)

One-Shot Transfer Learning for Nonlinear PDEs with Perturbative PINNs
by: Auroy, Samuel, et al.
Published: (2025)

Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations
by: Rao, Yiqi, et al.
Published: (2026)

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles
by: Flores, Pablo, et al.
Published: (2025)

Gradient Scaling Effects in Adaptive Spectral PINNs for Stiff Nonlinear ODEs
by: Yepes, Isabela M., et al.
Published: (2026)

PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems
by: Alexandrino, Duarte, et al.
Published: (2026)

Stiff Transfer Learning for Physics-Informed Neural Networks
by: Seiler, Emilien, et al.
Published: (2025)

Convivencia escolar en Latinoamérica: una revisión de literatura latinoamericana (2007-2017)
by: Ignacio Leyton-Leyton
Published: (2020)

Recent Advances of NeuroDiffEq -- An Open-Source Library for Physics-Informed Neural Networks
by: Liu, Shuheng, et al.
Published: (2025)

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
by: Moreno-Cartagena, Daniel, et al.
Published: (2025)

Learning embeddings of non-linear PDEs: the Burgers' equation
by: Tarancón-Álvarez, Pedro, et al.
Published: (2026)

Dermoscopic Findings in Linear Acral Melanocytic Nevi: Case Series and Literature Review
by: Raúl Cabrera, et al.
Published: (2025)

Improving Router Security using BERT
by: Carter, John, et al.
Published: (2026)

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space
by: Tarancón-Álvarez, Pedro, et al.
Published: (2025)

Caracterización de Ambientes Educativos y la Propensión a Enseñar, y sus Relaciones Dinámicas, a través de Modelamiento Fuzzy e ID3 Fuzzy
by: Guillermo Leyton G.
Published: (2014)

Revisión de Publicaciones. Martin Lödl, Sabine Gaal-Haszler, Zoltán Varga, Gyula M. László, Gábor Ronkay & László Ronkay. FIBIGERIANA Book series of Lepidopterology
by: A. Vives Moreno
Published: (2019)

Conformal prediction for uncertainties in the neutron star equation of state
by: Dezdarani, Habib Yousefi, et al.
Published: (2026)

Exploring Mentorship, Roles, and Professional Development Needs of K-12 School Librarians in the Greater DC Area: A Mixed Methods Approach
by: Flordeliza Linda Cadiz Marks
Published: (2024)

Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
by: Grefsrud, Aurora, et al.
Published: (2025)

ABC-SN: Attention Based Classifier for Supernova Spectra
by: Fortino, Willow Fox, et al.
Published: (2025)

Faster Bayesian inference with neural network bundles and new results for $f(R)$ models
by: Chantada, Augusto T., et al.
Published: (2023)

Multiband Embeddings of Light Curves
by: Becker, I., et al.
Published: (2025)

A review of predictive uncertainty estimation with machine learning
by: Tyralis, Hristos, et al.
Published: (2022)

Martin Lödl, Sabine Gaal-Haszler, Stefanie Jovanovic-Kruspel,. Gábor Ronkay, László Ronkay & Zoltán Varga. FIBIGERIANA Book series of Lepidopterology, volume 2. 116 páginas. Formato 29 x 20 cm. Heterocera Press, Budapest, 2013. ISBN: 978-615-5279-02-7
by: A. Vives Moreno
Published: (2015)

Influencia del pH sobre la estabilidad de preparados de inmunoglobulinas intravenosas para uso humano durante el almacenamiento
by: Armando Cádiz
Published: (2000)

¿Profesores competentes o humanizadores?
by: Janet Cádiz
Published: (2012)

Inactivación viral en el Intacglobín por el pH y la temperatura
by: Armando Cádiz
Published: (2001)

Exact and approximate error bounds for physics-informed neural networks
by: Chantada, Augusto T., et al.
Published: (2024)

Evolution of linear matter perturbations with error-bounded bundle physics-informed neural networks
by: Bachar, Luca Gomez, et al.
Published: (2025)

An ensemble Kalman approach to randomized maximum likelihood estimation
by: Stavrinides, Pavlos, et al.
Published: (2025)

A modified voltage changes ratio (MVCR) for in-vitro volume estimation
by: Víctor Hugo Mosquera-Leyton
Published: (2023)

Reseña de "I "sophoi" di Elea: Parmenide e Zenone" de Rossetti, Livio
by: Maria Protopapas-Marneli
Published: (2009)

ATTIVITÀ EDITORIALI E ALTRE ATTIVITÀ SCIENTIFICHE DEL CENTRO DI FILOSOFIA GRECA DELL’ACCADEMIA DI ATENE
by: Maria Protopapas-Marneli
Published: (2011)

Valoración de una situación didáctica para la enseñanza de variable aleatoria y distribución de probabilidad en la educación secundaria chilena
by: Valeria Bizet Leyton
Published: (2022)