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Uncertainty Quantification in Neural Differential Equations


Nov 08, 2021
Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara


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Classifying CMB time-ordered data through deep neural networks


Apr 13, 2020
Felipe Rojas, Loïc Maurin, Rolando Dünner, Karim Pichara

* 9 pages, 6 figures 

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Scalable End-to-end Recurrent Neural Network for Variable star classification


Feb 03, 2020
Ignacio Becker, Karim Pichara, Márcio Catelan, Pavlos Protopapas, Carlos Aguirre, Fatemeh Nikzat

* 15 pages, 17 figures. To be published in MNRAS 

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Streaming Classification of Variable Stars


Dec 04, 2019
Lukas Zorich, Karim Pichara, Pavlos Protopapas


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An Information Theory Approach on Deciding Spectroscopic Follow Ups


Nov 06, 2019
Javiera Astudillo, Pavlos Protopapas, Karim Pichara, Pablo Huijse


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An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves


Mar 08, 2019
Christian Pieringer, Karim Pichara, Márcio Catelán, Pavlos Protopapas

* Monthly Notices of the Astronomical Society, MNRAS 484, 3071 to 3077 (2019) 
* Accepted 2019 January 8. Received 2019 January 8; in original form 2018 January 29. 7 pages, 6 figures 

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A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification


Jan 02, 2019
Belen Saldias-Fuentes, Pavlos Protopapas, Karim Pichara

* SIAM International Conference on Data Mining (SDM19), 9 official pages, 5 supplementary pages 

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Deep multi-survey classification of variable stars


Oct 21, 2018
Carlos Aguirre, Karim Pichara, Ignacio Becker

* Accepted for publication in Monthly Notices of the Royal Astronomical Society 

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Clustering Based Feature Learning on Variable Stars


Feb 29, 2016
Cristóbal Mackenzie, Karim Pichara, Pavlos Protopapas

* ApJ 820 (2016) 138 

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Supervised detection of anomalous light-curves in massive astronomical catalogs


May 27, 2015
Isadora Nun, Karim Pichara, Pavlos Protopapas, Dae-Won Kim

* 2014, ApJ, 793, 23 
* 16 pages, 18 figures, published in The Astrophysical Journal 

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