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Multiscale AI @ ICLR 2025

@multiscaleai.bsky.social
57 followers 22 following 24 posts

ICLR 2025 workshop working building AI to answer a single question: Given low-level theory and computationally-expensive simulation code, how can we model complex systems on a useful time scale?

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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 05/05/2025
The ICLR 2025 MLMP Best Paper Award, along with 2k GPU-hours from Nebius, goes to "On Incorporating Scale into Graph Networks"! Congratulations, Christian Koke, Yuesong Shen, @abhi-rf.bsky.social, Marvin Eisenberger, @pseudomanifold.topology.rocks, Michael M. Bronstein, @dcremers.bsky.social!
Standard graph neural networks assign vastly different latent embeddings to graphs describing the same physical system at different resolution scales. This precludes consistency in applications and prevents generalization between scales as would fundamentally be needed in many scientific applications. We uncover the underlying obstruction, investigate its origin and show how to overcome it.
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 05/05/2025
ICLR 2025 MLMP best poster award goes to "ViNE-GATr: scaling geometric algebra transformers with virtual nodes embeddings"! Congratulations @sukjulian.bsky.social, Thomas Hehn, @arashbehboodi.bsky.social, Gabriele Cesa!
Equivariant neural networks can effectively model physical systems by naturally handling the underlying geometric quantities and preserving their symmetries, but scaling them to large geometric data remains challenging. Naive downsampling typically disrupts features’ transformation laws, limiting their applicability in large scale settings. In this work, we propose a scalable equivariant transformer that efficiently processes geometric data in a coarse-grained latent space while preserving E(3) symmetries of the problem. In particular, by building on the Geometric Algebra Transformer (GATr) and PerceiverIO architectures, our method learns equivariant latent tokens which allow us to decouple the processing complexity from the input data representation while maintaining global equivariance.
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 01/04/2025
📢 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! Submit here: forms.gle/itcBzomUsLwf... #ScienceFail #IrreproducibleResults #AcademicHumor
forms.gle
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 18/03/2025
🚀Continuing the spotlight series with the next @iclr-conf.bsky.social 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
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 12/03/2025
🚀Continuing the spotlight series with the next @iclr-conf.bsky.social MLMP 2025 Oral presentation! 📝5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence 📷 Join us on April 27 at #ICLR2025! #AI #ML #ICLR
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 10/03/2025
🚀 Next @iclr-conf.bsky.social 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
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 08/03/2025
🚀 Excited to kick off our @iclr-conf.bsky.social 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
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 06/03/2025
🚨 Paper decisions for the @iclr-conf.bsky.social 2025 Workshop on Machine Learning for Multiscale Processes are out! 👉 Check out the latest in multiscale ML openreview.net/group?id=ICL... Save the date: April 27, 2025! 🗓️ Stay tuned—we’ll be spotlighting accepted papers soon! 🌟
openreview.net
ICLR 2025 Workshop MLMP
Welcome to the OpenReview homepage for ICLR 2025 Workshop MLMP
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 13/02/2025
📢 Machine Learning Multiscale Processes @iclr-conf.bsky.social 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? 🧵
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 28/01/2025
🚀💻 Interested in Artificial General Intelligence? Want to hear more about how Reinforcement Learning could solve Millennium Prize problems? Attend our workshop and listen to @caltech.edu Prof. Sergei Gukov's talk: Math + AI = AGI 🌟 Submit your work here multiscale-ai.github.io!
multiscale-ai.github.io
Machine Learning Multiscale Processes @ ICLR 2025
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Reposted by Multiscale AI @ ICLR 2025
ICLR Nucleic Acids Workshop @ai4na-workshop.bsky.social · 27/01/2025
🔥If you think that AI4NA is not a perfect fit for your project, make sure to check out other awesome AI4Science workshops: AgenticAI, @gembioworkshop.bsky.social, @multiscaleai.bsky.social, @climatechangeai.bsky.social, MLGenX
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Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · 23/01/2025
💥Call for Submissions for the ICLR2025 @iclr-conf.bsky.social Workshop on ML for Multiscale Processes is open💥 Submission deadline is on the 10th of February! Please submit here: multiscale-ai.github.io Looking forward to receiving your papers!!!
multiscale-ai.github.io
Machine Learning Multiscale Processes @ ICLR 2025
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