Georgiy V. Bobashev

Probabilistic & Bayesian Methods · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Georgiy V. Bobashev trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Aapo Hyvärinen (in Probabilistic & Bayesian Methods)
  2. Radford M. Neal (in Probabilistic & Bayesian Methods)

Papers from Georgiy V. Bobashev's perspective

Ordered by how strongly the researchers Georgiy V. Bobashev trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GENERATIVE ADVERSARIAL NETS
  2. Improved Techniques for Training GANs
  3. Training Products of Experts by Minimizing Contrastive Divergence
  4. Microsoft COCO: Common Objects in Context
  5. Variational Inference with Normalizing Flows
  6. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  7. AUTO-ENCODING VARIATIONAL BAYES
  8. Importance Weighted Autoencoders
  9. Estimation of Non-Normalized Statistical Models by Score Matching
  10. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

Their papers