SGLD favors wide loss minima through the Eyring free-energy formula, and GANs act like a predator-prey system that pushes learning out of narrow likelihood maxima.
Neural networks and physical systems with emergent collective computational abilities
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Control of Overfitting with Physics
SGLD favors wide loss minima through the Eyring free-energy formula, and GANs act like a predator-prey system that pushes learning out of narrow likelihood maxima.