Joost A. A. Opschoor

Statistics and Probability · 2021

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

Subfields

Whom Joost A. A. Opschoor trusts overall

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

  1. Abdellah Chkifa
  2. Albert Cohen
  3. Allan Pinkus
  4. Christoph Schwab
  5. Kurt Hornik
  6. Shiyu Liang

Who trusts Joost A. A. Opschoor overall

  1. Lu Lu
  2. Xuhui Meng

Papers from Joost A. A. Opschoor's perspective

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

  1. Approximation theory of the MLP model in neural networks
  2. Why Deep Neural Networks for Function Approximation? (International Conference on Learning Representations)
  3. Breaking the curse of dimensionality in sparse polynomial approximation of parametric PDEs
  4. Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (SIAM Journal on Numerical Analysis)
  5. Adaptive wavelet methods for elliptic operator equations: Convergence rates (Mathematics of Computation)
  6. Adaptive Finite Element Methods with convergence rates (Numerische Mathematik)
  7. Optimality of a Standard Adaptive Finite Element Method (Foundations of Computational Mathematics)
  8. Data Oscillation and Convergence of Adaptive FEM (SIAM Journal on Numerical Analysis)
  9. Stochastic Finite Element Methods
  10. Interpolation and Approximation

Their papers