D. Scheiermann

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Scheiermann trusts

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

  1. Yazhen Wang (in Artificial Intelligence)
  2. Radford M. Neal (in Computer Vision and Pattern Recognition)

Papers from D. Scheiermann's perspective

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

  1. Quantum Computation and Quantum Information
  2. and s
  3. Pattern Recognition and Machine Learning
  4. Quantum Principal Component Analysis
  5. Towards the fast scrambling conjecture (Journal of High Energy Physics)
  6. The algebraic eigenvalue problem
  7. Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
  8. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
  9. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  10. Learning and relearning in Boltzmann machines

Their papers