The ICLR 2025 MLMP Best Paper Award, along with 2k GPU-hours from @nebiusai , goes to "On Incorporating Scale into Graph Networks"! Congratulations, @ChristianKoke, @ysngshn, @abhi_saroha19, @MarvinEisenber1, @Pseudomanifold, @mmbronstein, Daniel Cremers!

📢 Machine Learning Multiscale Processes ICLR 2025 Deadline Extended to Apr 14! 📅 The good thing it's the Irreproducible Results Track, so the less experiments you run, the greater is the acceptance chance! #ScienceFail hashtag#IrreproducibleResults hashtag#AcademicHumor

Submission link: forms.gle/itcBzomUsLwfB5Go8

🚀Continuing the spotlight series with the next @iclr_conf MLMP 2025 Oral presentation! 📝LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators 📷 Join us on April 27 at #ICLR2025! #AI #ML #ICLR #AI4Science

🚀Continuing the spotlight series with the next @iclr_conf MLMP 2025 Oral presentation! 📝5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence 📷 Join us on April 27 at #ICLR2025! #AI #ML #ICLR

🚀 Next @iclr_conf 2025 Machine Learning Multiscale Processes Workshop oral presentation🥳 📝DoMiNO: Down-scaling Molecular Dynamics with Neural Graph Ordinary Differential Equations 📅 Join us on April 27 at #ICLR2025! 📷 Early reg. deadline: March 15 #AI #ML #ICLR

🚀 Excited to kick off our @iclr_conf 2025 Machine Learning Multiscale Processes Workshop contributed paper series! 🥳 📝 On the Successful Incorporation of Scale into Graph Neural Networks 📅 Join us on April 27 at #ICLR2025! ⏳ Early reg. deadline: March 15 #AI #ML #ICLR

Authors: @ChristianKoke @ysngshn @AbhishekSaroh17 @MarvinEisenber1 @Pseudomanifold @mmbronstein Daniel Cremers

🚨 Paper decisions for the #ICLR2025 Workshop on Machine Learning for Multiscale Processes are out! Check out the latest in multiscale ML on OpenReview Save the date: April 27, 2025! 🗓️ Stay tuned—we’ll be spotlighting accepted papers soon! 🌟 #MachineLearning #MultiscaleML

📢 Machine Learning Multiscale Processes ICLR 2025 Deadline Extended to Feb 23! 📅 Given low-level theory and computationally-expensive simulation code, how can we model complex systems on a useful time scale? Why attend?🧵