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directions.md

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Julia + Tiramisu

polyhedrally optimizing some PDEs would be cool just a julia wrapper for tiramisu is boring. however, plug tiramisu into julia as a metaprogramming tool for rearranging loops... that's interesting ; possibly integrate w/ Flux.jl. http://isl.gforge.inria.fr/

Adversarial attacks / Pruning -> Interpretability on PDE NNs

pruning: operational results, may reduce very small networks even more, to the point of analytical analysis (?)

adv attacks: interesting, BUT: "small changes in input should not induce large changes in output" might not hold in the ODE / PDE setting; may need to come up with other benchmarks RE: features not bugs, just another way to impose priors on networks

interpretability: woo woo UIs for manipulating networks dissecting networks saliency??? analytical analysis?????? human studies??????????????

Voronoi maps / world generation

could be neat, not sure where it would be publishable sparse: might tie into tiramisu

TODOs

find partners?