447 citations · 803 across the 11 of their papers we have counts for
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cs.LG2019★ 56 cited
Neural reparameterization improves structural optimization
Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus
Structural optimization is a popular method for designing objects such as bridge trusses, airplane wings, and optical devices. Unfortunately, the quality of solutions depends heavi…
cs.NE2019★ 447 cited
Hamiltonian Neural Networks
Sam Greydanus, Misko Dzamba, Jason Yosinski
Even though neural networks enjoy widespread use, they still struggle to learn the basic laws of physics. How might we endow them with better inductive biases? In this paper, we dr…