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2020 – today
- 2025
[i5]Matthieu Blanke, Yongquan Qu, Sara Shamekh, Pierre Gentine:
Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling. CoRR abs/2505.18017 (2025)- [i4]Yongquan Qu, Matthieu Blanke, Sara Shamekh, Pierre Gentine:
PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models. CoRR abs/2508.00325 (2025) - [i3]Anurup Naskar, Nathanael Zhixin Wong, Sara Shamekh:
CuMoLoS-MAE: A Masked Autoencoder for Remote Sensing Data Reconstruction. CoRR abs/2508.14957 (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] - [i2]Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist:
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications. CoRR abs/2408.02161 (2024) - 2023
- [c1]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 - [i1]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)
Coauthor Index
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