D. J. Burke

IEEE Transactions on Power Systems · 2011

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom D. J. Burke trusts overall

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

  1. Aapo Hyvärinen
  2. George Papaefthymiou

Papers from D. J. Burke's perspective

Ordered by how strongly the researchers D. J. Burke trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fast and robust fixed-point algorithms for independent component analysis
  2. Using Copulas for Modeling Stochastic Dependence in Power System Uncertainty Analysis (IEEE Transactions on Power Systems)
  3. Establishing the role that wind generation may have in future generation portfolios (IEEE Transactions on Power Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. GENERATIVE ADVERSARIAL NETS
  7. Gradient-based learning applied to document recognition
  8. This PDF file includes: Materials and Methods
  9. Backpropagation Applied to Handwritten Zip Code Recognition
  10. Training Products of Experts by Minimizing Contrastive Divergence

Their papers