Anais Möller

According to our database, Anais Möller authored at least 5 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• 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

2022

A Convolutional Neural Network Approach to Supernova Time-Series Classification.

Helen Qu, Masao Sako, Anais Möller, Cyrille Doux

CoRR, 2022

2021

Fink: early supernovae Ia classification using active learning.

Marco Leoni, Emille E. O. Ishida, Julien Peloton, Anais Möller

CoRR, 2021

2020

Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients.

Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2018

DES science portal: Computing photometric redshifts.

Julia Gschwend, A. Carnero Rossel, Ricardo Ogando, Angelo Fausti Neto, Marcio A. G. Maia, Luiz Nicolaci da Costa, Marcos Lima, Paulo S. S. Pellegrini, Riccardo Campisano, C. Singulani, C. Adean, Christophe O. Benoist, Michel Aguena, Matias Carrasco Kind, Tamara M. Davis, J. DeVicente, William G. Hartley, Ben Hoyle, Antonella Palmese, Iftach H. Sadeh, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, James Annis, Jacobo Asorey, David D. Brooks, Josh Calcino, Daniela Carollo, Francisco J. Castander, Chris D'Andrea, Shantanu Desai, August E. Evrard, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Karl Glazebrook, David W. Gerdes, Robert A. Gruendl, Gaston R. Gutiérrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, Janie K. Hoormann, David J. James, Kyler W. Kuehn, Nikolay Kuropatkin, Ofer Lahav, Geraint F. Lewis, Christopher E. Lidman, Huan Lin, Edward MacAulay, Jennifer L. Marshall, Peter Melchior, Ramon Miquel, Anais Möller, Andreas Alejandro Plazas, Eusebio Sánchez, Basillio X. Santiago, Victor E. Scarpine, Rafe H. Schindler, Ignacio Sevilla-Noarbe, Mathew C. Smith, Natalia E. Sommer, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Brad E. Tucker, Douglas L. Tucker, Syed Ashraf Uddin, Alistair R. Walker

Astron. Comput., 2018