Posted on September 3, 2019
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Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems
Simliar to the “MIPs as a Layer” paper, this one is again about enforcing constraints into neural networks, but here the view is that we want to do this so that it respects the physical constraints of physical systems. As we attempt to solve more Physics problems with deep learning, we’ll see much more of this. I think it’s exciting!
