hansvm
5 hours ago
The general strategy of creating a differentiable representation of a problem and simply describing the constraints is pretty powerful. See also databases (allowing arbitrary knowledge storage to be a tightly integrated part of a larger ML problem), graph layouts (you can do _way_ better than something like graphviz if you add arbitrary differentiable characteristics as constraints in generation -- mixing and matching between the better parts of normal layout routines using your human intuition to say what's important about this graph in particular), ....