mlsanityData to 7 Oct 2026

Belief Propagation as Diffusion

arXiv 2107.12230 ↗First posted 26 Jul 2021math.AT cs.AI math-phcited by 2

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Abstract (arXiv)

We introduce novel belief propagation algorithms to estimate the marginals of a high dimensional probability distribution. They involve natural (co)homological constructions relevant for a localised description of statistical systems.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 21 of its 75 references that are in the map. First posted on arXiv 26 Jul 2021.

Builds on

21 of 75 references.

References · 21

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  2. 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,283
  3. 2013Auto-Encoding Variational Bayescited by 3,980
  4. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  5. 2016Improved Techniques for Training GANscited by 2,938
  6. 2017Improved Training of Wasserstein GANscited by 2,223
  7. 2013DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognitioncited by 422
  8. 2018A Survey on Deep Transfer Learningcited by 417
  9. 2018Deep Learning for Classical Japanese Literaturecited by 415
  10. 2017Wasserstein Auto-Encoderscited by 371
  11. 2015Adversarial Autoencoderscited by 359
  12. 2016Adversarial Feature Learningcited by 350
9 more
  1. 2018Pros and Cons of GAN Evaluation Measurescited by 224
  2. 2016Adversarially Learned Inferencecited by 216
  3. 2020Adversarial Latent Autoencoderscited by 155
  4. 2018Transferring GANs: generating images from limited datacited by 134
  5. 20183D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Networkcited by 47
  6. 2018FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing GANscited by 24
  7. 2019TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networkscited by 14
  8. 2017Belief Propagation in Conditional RBMs for Structured Predictioncited by 4
  9. 2018Hierarchical Adversarially Learned Inferencecited by 4

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Cited by year

Citing papers per year: 2022: 1; 2023: 1.

2 papers.

  1. 2022IGN : Implicit Generative Networkscited by 1
  2. 2023Augmenting Character Designers Creativity Using Generative Adversarial Networkscited by 0