#ICML2024 ML4ESM workshop invited speaker Kara Lamb on Towards Improved Cloud Parameterizations in Climate Models using Machine Learning LEAP-STC

#ICML2024 ML4ESM workshop invited speaker Julia Kaltenborn on ClimateSet: a large scale climate model dataset for machine learning Mila - Institut québécois d'IA LEAP-STC

Great attendance for our workshop! LEAP-STC

#ICML2024 ML4ESM workshop invited speaker David Rolnick on Machine Learning and Climate Change: An opportunity for application-driven innovation. Climate Change AI Mila - Institut québécois d'IA LEAP-STC

#ICML2024 ML4ESM workshop spotlight talk by Salva Ruhling Cachay Salva Rühling Cachay on Probabilistic Emulation of a Global Climate Model with Spherical DYffusion. Link to the paper arxiv.org/abs/2406.14798 Ai2 Climate Modeling LEAP-STC

#ICML2024 ML4ESM workshop spotlight talk by Aman Gupta on Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. DataWave Link to the paper arxiv.org/pdf/2406.14775

#ICML2024 ML4ESM workshop spotlight talk by Moritz Feik on Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts. Link to the paper arxiv.org/pdf/2407.11050

Thank you so much to all our wonderful speakers this morning! Now for posters and lunch to continue the discussions. And don't forget if you are attending online we have a poster session and networking over on GatherTown #icml24

#ICML2024 ML4ESM workshop spotlight talk by @eviatarbach and Enoch Luk on Learning Optimal Filters Using Variational Inference . Link to the paper arxiv.org/pdf/2406.18066

#ICML2024 ML4ESM workshop spotlight talk by Adam Subel on Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing. Link to the paper arxiv.org/pdf/2405.18585 M²LInES LEAP-STC

#ICML2024 ML4ESM workshop spotlight talk by Maryam Rahnemoonfar on Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets. Link to the paper arxiv.org/pdf/2406.18423

#ICML2024 ML4ESM workshop invited speaker Aditi Krishnapriyan Aditi Krishnapriyan on Bridging Numerical methods and deep learning with physics-constrained differentiable solvers.

#ICML2024 ML4ESM workshop invited speaker Nils Thuerey Thuerey Group at TUM on Diffusion Models: Probabilistic Learned Solvers

#ICML2024 ML4ESM workshop invited speaker Stephan Mandt Stephan Mandt @ AISTATS’25 on A Generative Perspective On Climate Projections. LEAP-STC

#ICML2024 Panel discussion moderated by Candace Agonafir. Our panelists are sharing their insights on ML for Earth system modeling and more!

We are delighted to announce the #ICML2024 ML4ESM Best Paper Award winner: [2406.14798] Probabilistic Emulation of a Global Climate Model with Spherical DYffusion (arxiv.org) Congrats to Salva Rühling Cachay and co-authors Ai2 Climate Modeling Rose Yu for their amazing work!

🎉Our ICML ML4ESM Best Paper is now accepted as a #NeurIPS2024 spotlight!🏆➡️🔦 📄Stay tuned for our camera-ready version with exciting updates, including 100-year inference runs 🌏🌎🌍. Huge thanks to our reviewers for their invaluable feedback & unanimously strong support. 🙏

We made a starter pack *and* custom feed for ML4ESM on 🔵☁️. Check it out! It will be updated as new people arrive 😉