Inverse Problems

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

Whom Inverse Problems trusts overall

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

  1. Grace Wahba
  2. Thorsten Hohage
  3. Edward W. Packel

Who trusts Inverse Problems overall

  1. Oded Maler
  2. Vijay Badrinarayanan
  3. Jeremy M. Cohen
  4. Dejan Nickovic
  5. Bamdev Mishra
  6. Elan Rosenfeld
  7. Mark Goresky
  8. Roberto Cipolla
  9. J. Kolter
  10. A. Bronstein

Papers from Inverse Problems's perspective

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

  1. Spline Models for Observational Data
  2. Smoothing noisy data with spline functions
  3. Smoothing Spline ANOVA
  4. Transforming classifier scores into accurate multiclass probability estimates
  5. Regularization Paths for Generalized Linear Models via Coordinate Descent
  6. A note on margin-based loss functions in classification
  7. Nearest neighbor pattern classification
  8. Ideal spatial adaptation by wavelet shrinkage
  9. High-dimensional graphs and variable selection with the Lasso
  10. High-dimensional Ising model selection using ℓ1-regularized logistic regression

Their papers