Search Results for author: Friso H. Kingma

Found 2 papers, 1 papers with code

Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks

no code implementations ICLR 2021 Thomas Bird, Friso H. Kingma, David Barber

In this work we show, for the first time, that we can successfully train generative models which utilize binary neural networks.

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

1 code implementation16 May 2019 Friso H. Kingma, Pieter Abbeel, Jonathan Ho

The bits-back argument suggests that latent variable models can be turned into lossless compression schemes.

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