🚨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.!
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.
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. https://t.co/N41SORCDY7
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