Who Cited It

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

2014 · arXiv (Cornell University) · 2,647 citations · 6 from inside this corpus

Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Stochastic Backpropagation and Approximate Inference in Deep Generative Models (2014)Stochastic Backpropagation an…Statistical Analysis With Missing Data (1989)Statistical Analysis With Mis…Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Lapl… (2009)Approximate Bayesian Inferenc…Variational Algorithms for Approximate Bayesian Inference (2003)Variational Algorithms for Ap…Bayesian learning via stochastic gradient langevin dynamics (2011)Bayesian learning via stochas…Deep Reinforcement Learning: A Brief Survey (2017)Deep Reinforcement Learning: …Variational Inference: A Review for Statisticians (2017)Variational Inference: A Revi…Bootstrap your own latent: A new approach to self-supervised Learning (2020)Bootstrap your own latent: A …Unsupervised Visual Representation Learning by Context Prediction (2015)Unsupervised Visual Represent…Variational Inference: A Review for Statisticians (2023)Variational Inference: A Revi…Automatic differentiation in machine learning: a survey (2017)Automatic differentiation in …
10 of 10 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Statistical Analysis With Missing Data198917,507
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Lapl…20095,476
Variational Algorithms for Approximate Bayesian Inference20031,736
Bayesian learning via stochastic gradient langevin dynamics20111,487

What cites it, inside the corpus

PaperYearCited
Deep Reinforcement Learning: A Brief Survey20174,434
Variational Inference: A Review for Statisticians20173,843
Bootstrap your own latent: A new approach to self-supervised Learning20203,447
Unsupervised Visual Representation Learning by Context Prediction20152,699
Variational Inference: A Review for Statisticians20232,169
Automatic differentiation in machine learning: a survey20172,094

Links

DOI · Open access copy · OpenAlex record

Topics

Gaussian Processes and Bayesian InferenceComputer Science
Bayesian Methods and Mixture ModelsComputer Science
Generative Adversarial Networks and Image SynthesisComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports21 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…