Madeleine Weinstein

Revista Matemática Complutense · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Madeleine Weinstein trusts

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

  1. Francesco Camastra (in Artificial Intelligence)
  2. Elizaveta Levina (in Representation & Self-Supervised Learning)
  3. Peter J. Bickel (in Representation & Self-Supervised Learning)
  4. Antonino Staiano (in Artificial Intelligence)

Papers from Madeleine Weinstein's perspective

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

  1. Maximum Likelihood Estimation of Intrinsic Dimension
  2. Algorithms for Clustering Data
  3. Numerically Solving Polynomial Systems with Bertini (Software, environments, tools)
  4. Estimating the reach of a manifold (Electronic Journal of Statistics)
  5. Julia: A Fresh Approach to Numerical Computing
  6. Semidefinite Optimization and Convex Algebraic Geometry
  7. Geometry of the Restricted Boltzmann Machine
  8. Intrinsic dimension estimation: Advances and open problems
  9. Regression Shrinkage and Selection via the Lasso
  10. Nonlinear dimensionality reduction by locally linear embedding.

Their papers