Pierre-François Léget

According to our database, Pierre-François Léget authored at least 3 papers between 2022 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

2025

Dark Energy Survey Year 3 results: Simulation-based <i>w</i>CDM inference from weak lensing and galaxy clustering maps with deep learning. I. Analysis design.

Arne Thomsen, J. Bucko, Tomasz Kacprzak, V. Ajani, Janis Fluri, Alexandre Refregier, Dhayaa Anbajagane, Francisco J. Castander, A. Ferté, M. Gatti, N. Jeffrey, A. Alarcon, A. Amon, Keith C. Bechtol, M. R. Becker, Gary M. Bernstein, A. Campos, Aurelio Carnero Rosell, Chihway Chang, R. Chen, A. Choi, Martín Crocce, C. Davis, J. DeRose, Scott Dodelson, C. Doux, K. Eckert, J. Elvin-Poole, S. Everett, Pablo Fosalba, Daniel Gruen, I. Harrison, Ken Herner, E. M. Huff, Michael J. Jarvis, Nikolay Kuropatkin, Pierre-François Léget, N. MacCrann, J. McCullough, J. Myles, A. Navarro-Alsina, S. Pandey, Anna Porredon, J. Prat, M. Raveri, M. Rodriguez-Monroy, R. P. Rollins, Aaron Roodman, Eli S. Rykoff, Carles Sánchez, L. F. Secco, Erin Sheldon, T. Shin, M. A. Troxel, Isaac Tutusaus, T. N. Varga, Noah Weaverdyck, Risa H. Wechsler, Brian Yanny, B. Yin, Y. Zhang, Joe Zuntz, Sahar Allam, F. Andrade-Oliveira, D. Bacon, J. Blazek, David D. Brooks, R. Camilleri, Jorge Carretero, R. Cawthon, Luiz Nicolaci da Costa, M. E. da Silva Pereira, Tamara M. Davis, Juan de Vicente, Shantanu Desai, Peter Doel, Juan García-Bellido, Gaston R. Gutiérrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, David J. James, Kyler W. Kuehn, Ofer Lahav, S. Lee, Jennifer L. Marshall, J. Mena-Fernández, Felipe Menanteau, Ramon Miquel, J. Muir, R. L. C. Ogando, Andrés Alejandro Plazas Malagón, Eusebio Sánchez, D. Sanchez Cid, Ignacio Sevilla-Noarbe, M. Smith, Eric Suchyta, Mollye E. C. Swanson, D. Thomas, C. To, Douglas L. Tucker

CoRR, November, 2025

2022

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series.

George Stein, Uros Seljak, Vanessa Böhm, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, Sébastien Bongard, K. Boone, C. Buton, Y. Copin, S. Dixon, Dominique Fouchez, Emmanuel Gangler, R. Gupta, Brian Hayden, W. Hillebrandt, M. Karmen, A. G. Kim, M. Kowalski, D. Kusters, Pierre-François Léget, F. Mondon, J. Nordin, R. Pain, E. Pecontal, R. Pereira, S. Perlmutter, K. A. Ponder, D. Rabinowitz, M. Rigault, D. Rubin, K. Runge, C. Saunders, G. Smadja, N. Suzuki, C. Tao, Rollin C. Thomas, Maria Vincenzi

CoRR, 2022