Re:Differentiable programming for gradient-based machine lea...
by KenoFischer on Thursday November 19, 2020 @05:40PM
(#25155221)
The differentiable programming framing is quite useful in the scientific simulation space, because it lets you couple traditional physics simulations to either neural surrogates or some sort of bayesian model. Enough of it is happening in the Julia world that were very actively improving the compiler to support it.
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Re:Differentiable programming for gradient-based machine lea...
by pixelpoet on Thursday November 19, 2020 @11:21PM
(#25157282)
Here's a stunning recent example from computer graphics: http://rgl.epfl.ch/publications/NimierDavidVicini2019Mitsuba...