Spectral Inference Networks: Unifying Deep and Spectral Learning

ICLR 2019 David PfauStig PetersenAshish AgarwalDavid G. T. BarrettKimberly L. Stachenfeld

We present Spectral Inference Networks, a framework for learning eigenfunctions of linear operators by stochastic optimization. Spectral Inference Networks generalize Slow Feature Analysis to generic symmetric operators, and are closely related to Variational Monte Carlo methods from computational physics... (read more)

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