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ORCIDLaure Zanna
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2020 – today
- 2025
[c3]Christian Pedersen, Laure Zanna, Joan Bruna:
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos. ICML 2025- [i11]Jiarong Wu, Pavel Perezhogin, David John Gagne, Brandon Reichl, Aneesh C. Subramanian, Elizabeth Thompson, Laure Zanna:
Data-Driven Probabilistic Air-Sea Flux Parameterization. CoRR abs/2503.03990 (2025) - [i10]Christian Pedersen, Laure Zanna, Joan Bruna:
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos. CoRR abs/2503.18731 (2025) - [i9]Moein Darman, Pedram Hassanzadeh, Laure Zanna, Ashesh Chattopadhyay:
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence. CoRR abs/2504.15487 (2025) - [i8]James Duncan, Elynn Wu, Surya Dheeshjith, Adam Subel, Troy Arcomano, Spencer K. Clark, Brian Henn, Anna Kwa, Jeremy McGibbon, W. Andre Perkins, William Gregory, Carlos Fernandez-Granda, Julius Busecke, Oliver Watt-Meyer, William J. Hurlin, Alistair Adcroft, Laure Zanna, Christopher S. Bretherton:
SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators. CoRR abs/2509.12490 (2025) - [i7]J. Nathan Kutz, Peter W. Battaglia, Michael P. Brenner, Kevin Carlberg, Aric A. Hagberg, Shirley Ho, Stephan Hoyer, Henning Lange, Hod Lipson, Michael W. Mahoney, Frank Noé, Max Welling, Laure Zanna, Francis Zhu, Steven L. Brunton:
Accelerating scientific discovery with the common task framework. CoRR abs/2511.04001 (2025) - 2024
- [d4]Dhruv Balwada
, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Brener, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Shubham Gupta, Arthur Guillaumin, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Zhiwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
m2lines/L96_demo: v1.0.1. Version v1.0.1. Zenodo, 2024 [all versions]
- [d3]Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Brenner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur Guillaumin, Shubham Gupta, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Zhiwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
m2lines/L96_demo: Final version for JOSE. Version v1.0.2. Zenodo, 2024 [all versions] - [d2]Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Brener, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur Guillaumin, Shubham Gupta, Johanna Goldman, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Ziwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
m2lines/L96_demo: Final version for JOSE with DOIs. Version v1.0.3. Zenodo, 2024 [all versions] - [d1]Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Brener, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur P. Guillaumin, Shubham Gupta, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Ziwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
Learning Machine Learning with Lorenz-96. Version 4. Zenodo, 2024 [all versions] - [i6]Qidong Yang, Weicheng Zhu, Joseph Keslin, Laure Zanna, Tim G. J. Rudner, Carlos Fernandez-Granda:
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction. CoRR abs/2410.23272 (2024) - [i5]Surya Dheeshjith, Adam Subel, Alistair Adcroft, Julius Busecke, Carlos Fernandez-Granda, Shubham Gupta, Laure Zanna:
Samudra: An AI Global Ocean Emulator for Climate. CoRR abs/2412.03795 (2024) - 2023
- [c2]Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard:
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS 2023 - [i4]Karl Otness, Laure Zanna, Joan Bruna:
Data-driven multiscale modeling of subgrid parameterizations in climate models. CoRR abs/2303.17496 (2023) - [i3]Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge:
Discovering Causal Relations and Equations from Data. CoRR abs/2305.13341 (2023) - [i2]Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.:
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR abs/2306.08754 (2023) - 2022
- [j1]Nora Loose, Ryan Abernathey, Ian G. Grooms, Julius Busecke, Arthur Guillaumin, Elizabeth Yankovsky, Gustavo Marques, Jacob Steinberg, Andrew Slavin Ross, Hemant Khatri, Scott Bachman, Laure Zanna, Paige Martin:
GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data. J. Open Source Softw. 7(69): 3947 (2022) - [c1]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda:
Deep Probability Estimation. ICML 2022: 13746-13781 - 2021
- [i1]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda:
Deep Probability Estimation. CoRR abs/2111.10734 (2021)
Coauthor Index
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