S. Görtz

Statistical and Nonlinear Physics · 2014

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Görtz trusts overall

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

  1. Sam T. Roweis
  2. Lawrence K. Saul
  3. Jonathon Shlens
  4. Patrick LeGresley
  5. Saifon Chaturantabut
  6. Philip S. Beran

Papers from S. Görtz's perspective

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

  1. Nonlinear dimensionality reduction by locally linear embedding.
  2. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold (Journal of machine learning research)
  3. Nonlinear Model Reduction via Discrete Empirical Interpolation (SIAM Journal on Scientific Computing)
  4. Proper orthogonal decomposition extensions for parametric applications in compressible aerodynamics
  5. Modeling and control of physical processes using proper orthogonal decomposition
  6. The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows (Journal of Computational Physics)
  7. The Isomap Algorithm and Topological Stability
  8. Nonlinear model order reduction based on local reduced‐order bases
  9. Reduced-order modeling - New approaches for computational physics
  10. A Tutorial on Principal Component Analysis (arXiv.org)

Their papers