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  • Composing graphical models with neural networks for structured ...

    arxiv.org

    2016年3月20日 - Our model family augments graphical structure in latent variables with neural network observation models. For inference, we extend variational ...

  • [1603.06277v3] Composing graphical models with neural networks for ...

    arxiv.org

    2016年3月20日 - Our model family augments graphical structure in latent variables with neural network observation models. For inference, we extend variational ...

  • Composing graphical models with neural networks for structured ...

    arxiv.org

    2017年7月7日 - We propose a general modeling and inference framework that combines the com- plementary strengths of probabilistic graphical models and ...

  • Composing graphical models with neural networks for structured ...

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    Composing graphical models with neural networks for structured representations and fast inference. Part of: Advances in Neural Information Processing Systems ...

  • Composing graphical models with neural networks ... - Semantic Scholar

    pdfs.semanticscholar.org

    Composing graphical models with neural networks for structured representations and fast inference. Matt Johnson, David Duvenaud, Alex Wiltschko, Bob Datta, ...

  • GitHub - mattjj/svae: code for Structured Variational Autoencoders

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    README.md. Code for Composing graphical models with neural networks for structured representations and fast inference, a.k.a. structured variational ...

  • Composing graphical models with neural networks for structured ...

    www.cs.toronto.edu

    Composing graphical models with neural networks for structured representations and fast inference. Matt Johnson, David Duvenaud, Alex Wiltschko, Bob Datta, ...

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