Continuous Variational Synthesis
This article trains ``free''variational synthesis models using stochastic gradient descent in continuous space, and then discretize with post-training quantization to impose hardware and wetware constraints, enabling variational synthesis models to satisfy stringent reward criteria, while still synthesizing diverse des...
A. N. Amin, Mattia G. Gollub, Andrei Slabodkin et al.
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