Ved G. Shah

According to our database, Ved G. Shah authored at least 5 papers between 2025 and 2026.

Collaborative distances:

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

2026

Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration.

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

CoRR, January, 2026

SELDON: Supernova Explosions Learned by Deep ODE Networks.

Jiezhong Wu, Jack O'Brien, Jennifer Li, M. S. Krafczyk, Ved G. Shah, Amanda Wasserman, Daniel W. Apley, Gautham Narayan, Noelle I. Samia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Pre-training vision models for the classification of alerts from wide-field time-domain surveys.

Nabeel Rehemtulla, Adam A. Miller, Mike Walmsley, Ved G. Shah, Theophile Jegou du Laz, Michael W. Coughlin, Argyro Sasli, Joshua Bloom, Christoffer Fremling, Matthew J. Graham, Steven L. Groom, David Hale, Ashish A. Mahabal, Daniel A. Perley, Josiah Purdum, Ben Rusholme, Jesper Sollerman, Mansi M. Kasliwal

CoRR, December, 2025

StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars.

Weijian Li, Hong-Yu Chen, Qinjie Lin, Nabeel Rehemtulla, Ved G. Shah, Dennis Wu, Adam A. Miller, Han Liu

CoRR, October, 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