Gautham Narayan

According to our database, Gautham Narayan authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation.

Andrew Engel, Nell Byler, Adam Tsou, Gautham Narayan, Emmanuel Bonilla, Ian Smith

CoRR, January, 2025

ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST.

Ved G. Shah, Alex Gagliano, Konstantin Malanchev, Gautham Narayan, LSST Dark Energy Science Collaboration

CoRR, January, 2025

2024

Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model.

Andrew Engel, Gautham Narayan, Nell Byler

CoRR, 2024

2022

Machine Learning and Cosmology.

Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ciprijanovic, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, Francisco Villaescusa-Navarro

CoRR, 2022

2021

Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data.

Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan

CoRR, 2021

Real-time detection of anomalies in large-scale transient surveys.

Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan

CoRR, 2021

2019

RAPID: Early Classification of Explosive Transients using Deep Learning.

Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hlozek

CoRR, 2019

A machine learning classifier for microlensing in wide-field surveys.

Daniel Godines, Etienne Bachelet, Gautham Narayan, R. A. Street

Astron. Comput., 2019