🎉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've developed the first conditional generative model for accurate & efficient ensemble climate simulations!
📄Read the full paper: arxiv.org/abs/2406.14798
🎉Excited to share that a preliminary version was accepted as an oral presentation @ml4esmworkshop at #ICML2024!
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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 @salvaRC7 and co-authors @ai2_climate@yuqirose for their amazing work!
and that's a wrap!! Thank you so much to all our speakers, our organizers and everyone who attended and asked thought-provoking questions! Lots of interesting discussions and we hope to see you all again at future meetings!
#ICML2024 ML4ESM workshop invited speaker Aditi Krishnapriyan @ask1729 on Bridging Numerical methods and deep learning with physics-constrained differentiable solvers.
#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 spotlight talk by @eviatarbach and Enoch Luk on Learning Optimal Filters Using Variational Inference . Link to the paper arxiv.org/pdf/2406.18066
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 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