I'll be presenting this work with
@samgreydanus
and
@jaschasd
tomorrow morning (Friday Dec 13) at 11:30am at the NeurIPS Deep Inverse Problems workshop ()
I'm happy to share a new paper, with
@jaschasd
and
@samgreydanus
: "Neural reparameterization improves structural optimization"
We use neural nets to parameterize inputs of a finite elements method, and differentiable through the whole thing: