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GSNs: generative stochastic networks

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Publication:4603726
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DOI10.1093/imaiai/iaw003zbMath1380.68328arXiv1503.05571OpenAlexW2159528849MaRDI QIDQ4603726

Saizheng Zhang, Éric Thibodeau-Laufer, Guillaume Alain, Jason Yosinski, Li Yao, Pascal Vincent, Yoshua Bengio

Publication date: 19 February 2018

Published in: Information and Inference (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1503.05571

zbMATH Keywords

generative modelsdeep learningauto-encoders


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items

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Uses Software

  • Theano
  • darch
  • ImageNet
  • AlexNet


Cites Work

  • Unnamed Item
  • Simple statistical gradient-following algorithms for connectionist reinforcement learning
  • 10.1162/153244301753344614
  • Learning Deep Architectures for AI
  • Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
  • On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates
  • Deep Haar scattering networks
  • On invariance and selectivity in representation learning
  • Enhanced Gradient for Training Restricted Boltzmann Machines
  • A Fast Learning Algorithm for Deep Belief Nets
  • Perturbation theory and finite Markov chains
  • Comparison of perturbation bounds for the stationary distribution of a Markov chain
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