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04/27/2023
Distinguishing a planetary transit from false positives: a Transformer-based classification for planetary transit signals
Current space-based missions, such as the Transiting Exoplanet Survey Sa...
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03/12/2023
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift
In recent decades, machine learning has provided valuable models and alg...
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12/14/2022
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks
Physics-Informed Neural Networks (PINNs) are gaining popularity as a met...
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11/08/2021
Uncertainty Quantification in Neural Differential Equations
Uncertainty quantification (UQ) helps to make trustworthy predictions ba...
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04/13/2020
Classifying CMB time-ordered data through deep neural networks
The Cosmic Microwave Background (CMB) has been measured over a wide rang...
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02/03/2020
Scalable End-to-end Recurrent Neural Network for Variable star classification
During the last decade, considerable effort has been made to perform aut...
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12/04/2019
Streaming Classification of Variable Stars
In the last years, automatic classification of variable stars has receiv...
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11/06/2019
An Information Theory Approach on Deciding Spectroscopic Follow Ups
Classification and characterization of variable phenomena and transient ...
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03/08/2019
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves
Within the last years, the classification of variable stars with Machine...
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01/02/2019
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification
Crowdsourcing has become widely used in supervised scenarios where train...
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10/21/2018
Deep multi-survey classification of variable stars
During the last decade, a considerable amount of effort has been made to...
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02/29/2016
Clustering Based Feature Learning on Variable Stars
The success of automatic classification of variable stars strongly depen...
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04/01/2013