Daniel A. Slayback

Nature · 2001–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel A. Slayback trusts overall

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

  1. Yuhai Wu

Who trusts Daniel A. Slayback overall

  1. Shilong Piao

Papers from Daniel A. Slayback's perspective

Ordered by how strongly the researchers Daniel A. Slayback trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Statistical Learning Theory
  2. Acclimation of ecosystem CO2 exchange in the Alaskan Arctic in response to decadal climate warming (Nature)
  3. Support Vector Regression Machines
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Subset Selection in Regression
  7. Deep Learning
  8. What regularized auto-encoders learn from the data-generating distribution
  9. Learning and relearning in Boltzmann machines
  10. A Connection Between Score Matching and Denoising Autoencoders

Their papers