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Neural reparameterization improves structural optimization

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Sep 28 2019 hardmaru

Neural networks for optimizing structural designs. Cool work! https://arxiv.org/abs/1909.04240 https://t.co/gfycVTYbxK
7 replies, 590 likes


Sep 28 2019 Jascha

Neural reparameterization improves structural optimization! By parameterizing physical design in terms of the (constrained) output of a neural network, we propose stronger and more elegant bridges, skyscrapers, and cantilevers. http://arxiv.org/pdf/1909.04240.pdf With shoyer@ samgreydanus@ https://t.co/PZzJjgoCep
3 replies, 381 likes


Sep 28 2019 Stephan Hoyer

I'm happy to share a new paper, with @jaschasd and @samgreydanus: "Neural reparameterization improves structural optimization" https://arxiv.org/abs/1909.04240 We use neural nets to parameterize inputs of a finite elements method, and differentiable through the whole thing: https://t.co/JYRTiNwYsh
2 replies, 153 likes


Oct 15 2019 Frank A. Krueger

When you ask a neural network to optimize the structure of tall buildings, it invents trees. https://arxiv.org/abs/1909.04240 https://t.co/g1ID03H25x
5 replies, 124 likes


Sep 28 2019 Benjamin Pope

Gothic architecture came from the genius of stripping away stone where it was in tension - what cybergothic architecture will we get from the dreams of neural networks?
2 replies, 13 likes


Sep 28 2019 Sam Greydanus

Our latest project is on arXiv! We explore the use of the “deep prior” for reparameterizing physics problems. It was a pleasure working with @jaschasd and @shoyer on this
1 replies, 9 likes


Sep 28 2019 Daisuke Okanohara

CNNs provides better parameterization for structural optimization (c.f. deep prior); inductive bias toward simpler and more effective structures. Backprop the error through the transformation at the optimum point using implicit differentiation. https://arxiv.org/abs/1909.04240
0 replies, 7 likes


Sep 28 2019 NIDHAL SELMI - نضال السالمي

Neural Nets design stronger structures. Add 3D printing robots to this (already done in Amsterdam) and you get a picture of some future capabilities. https://t.co/SSzdDA1N8r
2 replies, 6 likes


Oct 15 2019 Suvy Bo

#Fractals
0 replies, 5 likes


Oct 15 2019 Stephan Hoyer

@praeclarum @jeremyphoward I agree! Optimizing complex simulations with auto-diff is a really powerful idea. We did some recent work in this area using neural networks to reparameterize structural optimization: https://arxiv.org/abs/1909.04240
1 replies, 5 likes


Oct 24 2019 Shawn Presser

I'd love to see neural network videogame level design. Someone do it!
0 replies, 2 likes


Oct 16 2019 Alexander Kyte

So what you're saying is that tree houses are provably optimal engineering?
0 replies, 2 likes


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