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Neural Spectral Methods (spectral-based neural operator + spectral loss training method) will be presented at Poster session 4 this Wed (May 8, 4:30 PM) at #ICLR2024! Paper: openreview.net/forum?id=2DbVe… Code: github.com/ASK-Berkeley/N…

#ML4Science and #ML4Simulations related workshops @ #ICML2024 today: Machine Learning for Life and Material Science: From Theory to Industry applications (ml4lms.bio)

Happening now AI for Science #ICML2024

Aurora AI for Science #ICML2024

DiffusionPDE AI for Science #ICML2024

Causal discovery AI for Science #ICML2024

Large-scale discovery AI for Science #ICML2024

PINNACLE AI for Science #ICML2024

Drug design AI for Science by Max Jaderberg #ICML2024

Panel discussion AI for Science #ICML2024

📰 blogpost: maxxxzdn.github.io/blog/cscnns.ht… 🕹️ google colab: colab.research.google.com/drive/1M196l6X… I tried to make the blog post more accessible than the paper and added a lot of supporting visualizations. Please check it out if you are curious about spacetime-equivariant CNNs 🚀

If you are at ICLR and interested in ways to make denoising diffusion more efficient, please come to Vinh’s oral talk tomorrow at 11:30 in oral session 1C. It also involves backprop through ODE solvers and constrained learning.

🚨ICLR poster in 1.5 hours, presented by Daniel Musekamp: Can active learning help to generate better datasets for neural PDE solvers? We introduce a new benchmark to find out! Featuring 6 PDEs, 6 AL methods, 3 architectures and many ablations - transferability, speed, etc.!

AL4PDE codebase is available @ github.com/dmusekamp/al4p…. Try it out!