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tiao.io
| | dustintran.com
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| | I'm excited to announce a paper that Rajesh Ranganath, Dave Blei, and I released today on arXiv, titled Deep and Hierarchical Implicit Models. Implicit probabilistic models are all about sampling as a primitive: they define a process to simulate data and do not require tractable densities (Diggle & Gratton (1984), Hartig, Calabrese, Reineking, Wiegand, & Huth (2011)) . We leverage this fundamental idea to develop new classes of models: they encompass simulators in the scientific communities, generative a...
| | jxmo.io
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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | www.depthfirstlearning.com
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| | aaronhertzmann.com
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| At the CVPR 2020 workshop on AI for Content Creation, I gave an informal talk about the increasing numbers of computer graphics (image synthesis) papers appearing at computer vision conferences: