Karim Pichara

According to our database, Karim Pichara authored at least 23 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A self-regulated convolutional neural network for classifying variable stars.

Francisco Pérez-Galarce, Jorge Martínez-Palomera, Karim Pichara, Pablo Huijse, Márcio Catelán

CoRR, May, 2025

Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm.

Helem Salinas, Rafael Brahm, Greg Olmschenk, Richard K. Barry, Karim Pichara, Stela Ishitani Silva, Vladimir Araujo

CoRR, February, 2025

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles.

Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2023

Distinguishing a planetary transit from false positives: a Transformer-based classification for planetary transit signals.

Helem Salinas, Karim Pichara, Rafael Brahm, Francisco Pérez-Galarce, Domingo Mery

CoRR, 2023

Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift.

Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery

Astron. Comput., 2023

2022

Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks.

Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara

CoRR, 2022

2021

Uncertainty Quantification in Neural Differential Equations.

Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara

CoRR, 2021

Informative Bayesian model selection for RR Lyrae star classifiers.

Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery

CoRR, 2021

2020

Classifying CMB time-ordered data through deep neural networks.

Felipe Rojas, Loïc Maurin, Rolando Dünner, Karim Pichara

CoRR, 2020

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

Ignacio Becker, Karim Pichara, Márcio Catelán, Pavlos Protopapas, Carlos Aguirre, Fatemeh Nikzat

CoRR, 2020

2019

Streaming Classification of Variable Stars.

Lukas Zorich, Karim Pichara, Pavlos Protopapas

CoRR, 2019

An Information Theory Approach on Deciding Spectroscopic Follow Ups.

Javiera Astudillo, Pavlos Protopapas, Karim Pichara, Pablo Huijse

CoRR, 2019

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

Christian Pieringer, Karim Pichara, Márcio Catelán, Pavlos Protopapas

CoRR, 2019

2018

Understanding Learning Resources Metadata for Primary and Secondary Education.

Monserrat Peralta, Rosa Alarcón, Karim Pichara, Tomas Mery, Felipe Cano, Jorge Bozo

IEEE Trans. Learn. Technol., 2018

Centralized student performance prediction in large courses based on low-cost variables in an institutional context.

Augusto Sandoval, Carlos Gonzalez, Rosa Alarcón, Karim Pichara, Maximiliano Montenegro

Internet High. Educ., 2018

Deep multi-survey classification of variable stars.

Carlos Aguirre, Karim Pichara, Ignacio Becker

CoRR, 2018

Astronomical data analysis software and systems.

Mauricio Solar, Amelia Bayo, Nuria P. F. Lorente, Karim Pichara

Astron. Comput., 2018

2016

Clustering Based Feature Learning on Variable Stars.

Cristóbal Mackenzie, Karim Pichara, Pavlos Protopapas

CoRR, 2016

2014

Local feature selection using Gaussian process regression.

Karim Pichara, Alvaro Soto

Intell. Data Anal., 2014

Supervised detection of anomalous light-curves in massive astronomical catalogs.

Isadora nun, Karim Pichara, Pavlos Protopapas, Dae-Won Kim

CoRR, 2014

2013

Automatic Classification of Variable Stars in Catalogs with missing data.

Karim Pichara, Pavlos Protopapas

CoRR, 2013

2011

Active learning and subspace clustering for anomaly detection.

Karim Pichara, Alvaro Soto

Intell. Data Anal., 2011

2008

Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions.

Karim Pichara, Alvaro Soto, Anita Araneda

Proceedings of the Advances in Artificial Intelligence, 2008