Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Laure Zanna; Narges Razavian; Carlos Fernandez-Granda (CoRR, 2021)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Haoxiang Huang; Laure Zanna; Narges Razavian; Jonathan Niles-Weed; Carlos Fernandez-Granda (ICML, 2022)

GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data. - 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; et al. (J. Open Source Softw., 2022)

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - 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; et al. (NeurIPS, 2023)

Data-driven multiscale modeling of subgrid parameterizations in climate models. - Karl Otness; Laure Zanna; Joan Bruna (CoRR, 2023)

Discovering Causal Relations and Equations from Data. - Gustau Camps-Valls; Andreas Gerhardus; Urmi Ninad; Gherardo Varando; Georg Martius; Emili Balaguer-Ballester; Ricardo Vinuesa; Emiliano Diaz; Laure Zanna; Jakob Runge (CoRR, 2023)

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. - 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; et al. (CoRR, 2023)

A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction. - Qidong Yang; Weicheng Zhu; Joseph Keslin; Laure Zanna; Tim G. J. Rudner; Carlos Fernandez-Granda (CoRR, 2024)

Samudra: An AI Global Ocean Emulator for Climate. - Surya Dheeshjith; Adam Subel; Alistair Adcroft; Julius Busecke; Carlos Fernandez-Granda; Shubham Gupta; Laure Zanna (CoRR, 2024)

Data-Driven Probabilistic Air-Sea Flux Parameterization. - Jiarong Wu; Pavel Perezhogin; David John Gagne; Brandon Reichl; Aneesh C. Subramanian; Elizabeth Thompson; Laure Zanna (CoRR, 2025)

Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos. - Chris Pedersen; Laure Zanna; Joan Bruna (CoRR, 2025)

Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence. - Moein Darman; Pedram Hassanzadeh; Laure Zanna; Ashesh Chattopadhyay (CoRR, 2025)