Russ Salakhutdinov

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Deep directed graphical models, while a potentially powerful class of genera-tive representations, are challenging to train due to difficult inference. Recent advances in variational inference that make use of an inference or recognition network have advanced well beyond traditional variational inference and Markov chain Monte Carlo methods. While these(More)
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