Joined March 2024
18 Photos and videos
We made a starter pack *and* custom feed for ML4ESM on 🔵☁️. Check it out! It will be updated as new people arrive 😉
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ml4esmworkshop retweeted
🎉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!

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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!
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If you missed it, you can catch up online and you can access the posters on Gather until midnight CEST tonight!
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#ICML2024 Panel discussion moderated by Candace Agonafir. Our panelists are sharing their insights on ML for Earth system modeling and more!
Replying to @ml4esmworkshop
Our speakers and panelists come from diverse backgrounds, each bringing deep insights and cutting-edge discoveries that integrating #AI and #EarthSystemModeling / #Climate Research. @karadlamb @JuliaKaltenborn @StephanMandt @ask1729 @david_rolnick @thuereyGroup
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#ICML2024 ML4ESM workshop invited speaker Stephan Mandt @StephanMandt on A Generative Perspective On Climate Projections. @LeapStc
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#ICML2024 ML4ESM workshop invited speaker Nils Thuerey @thuereyGroup on Diffusion Models: Probabilistic Learned Solvers
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#ICML2024 ML4ESM workshop invited speaker Aditi Krishnapriyan @ask1729 on Bridging Numerical methods and deep learning with physics-constrained differentiable solvers.
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#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
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#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 @LeapStc
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#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
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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
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#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
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#ICML2024 ML4ESM workshop spotlight talk by Aman Gupta on Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. @DataWave_VESRI Link to the paper arxiv.org/pdf/2406.14775
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#ICML2024 ML4ESM workshop spotlight talk by Salva Ruhling Cachay @salvaRC7 on Probabilistic Emulation of a Global Climate Model with Spherical DYffusion. Link to the paper arxiv.org/abs/2406.14798 @ai2_climate @LeapStc
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#ICML2024 ML4ESM workshop invited speaker @david_rolnick on Machine Learning and Climate Change: An opportunity for application-driven innovation. @ClimateChangeAI @Mila_Quebec @LeapStc
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Great attendance for our workshop! @LeapStc
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#ICML2024 ML4ESM workshop invited speaker @JuliaKaltenborn on ClimateSet: a large scale climate model dataset for machine learning @Mila_Quebec @LeapStc
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#ICML2024 ML4ESM workshop invited speaker @karadlamb on Towards Improved Cloud Parameterizations in Climate Models using Machine Learning @LeapStc
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