Gautham Narayan

11 papers A* 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration.
CoRR
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz, Matthew R. Becker, Biswajit Biswas, Rahul Biswas, Boris Bolliet, Adam S. Bolton, Clecio R. Bom, Raphaël Bonnet-Guerrini, Alexandre Boucaud, Jean-Eric Campagne, Chihway Chang, Aleksandra Ciprijanovic, Johann Cohen-Tanugi, Michael W. Coughlin, John Franklin Crenshaw, Juan C. Cuevas-Tello, Juan de Vicente, Seth W. Digel, Steven Dillmann, Mariano Javier de León Dominguez Romero, Alex Drlica-Wagner, Sydney Erickson, Alexander T. Gagliano, Christos Georgiou, Aritra Ghosh, Matthew Grayling, Kirill A. Grishin, Alan Heavens, Lindsay R. House, Mustapha Ishak, Wassim Kabalan, Arun Kannawadi, François Lanusse, C. Danielle Leonard, Pierre-François Léget, Michelle Lochner, Yao-Yuan Mao, Peter Melchior, Grant Merz, Martin Millon, Anais Möller, Gautham Narayan, Yuuki Omori, Hiranya Peiris, Laurence Perreault Levasseur, Andrés Alejandro Plazas Malagón, Nesar Ramachandra, Benjamin Remy, Cécile Roucelle, Jaime Ruiz-Zapatero, Stefan Schuldt, Ignacio Sevilla-Noarbe, Ved G. Shah, Tjitske Starkenburg, Stephen Thorp, Laura Toribio San Cipriano, Tilman Tröster, Roberto Trotta, Padma Venkatraman, Amanda Wasserman, Tim White, Justine Zeghal, Tianqing Zhang, Yuanyuan Zhang
2026 A* conf
SELDON: Supernova Explosions Learned by Deep ODE Networks.
AAAI
Jiezhong Wu, Jack O'Brien, Jennifer Li, M. S. Krafczyk, Ved G. Shah, Amanda Wasserman, Daniel W. Apley, Gautham Narayan, Noelle I. Samia
2026 J jnl
SELDON: Supernova Explosions Learned by Deep ODE Networks.
CoRR
Jiezhong Wu, Jack O'Brien, Jennifer Li, M. S. Krafczyk, Ved G. Shah, Amanda Wasserman, Daniel W. Apley, Gautham Narayan, Noelle I. Samia
2025 J jnl
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation.
CoRR
Andrew Engel, Nell Byler, Adam Tsou, Gautham Narayan, Emmanuel Bonilla, Ian Smith
2025 J jnl
ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST.
CoRR
Ved G. Shah, Alex Gagliano, Konstantin Malanchev, Gautham Narayan, LSST Dark Energy Science Collaboration
2024 J jnl
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model.
CoRR
Andrew Engel, Gautham Narayan, Nell Byler
2022 J jnl
Machine Learning and Cosmology.
CoRR
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
2021 J jnl
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data.
CoRR
Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan
2021 J jnl
Real-time detection of anomalies in large-scale transient surveys.
CoRR
Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan
2019 J jnl
A machine learning classifier for microlensing in wide-field surveys.
Astron. Comput.
Daniel Godines, Etienne Bachelet, Gautham Narayan, R. A. Street
2019 J jnl
RAPID: Early Classification of Explosive Transients using Deep Learning.
CoRR
Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hlozek