Aleksey K. Alekseev

2001

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Aleksey K. Alekseev trusts overall

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

  1. Dong C. Liu
  2. Jorge Nocedal

Who trusts Aleksey K. Alekseev overall

  1. Andrew M. Stuart
  2. P. A. Vidard
  3. Laurent Cordier
  4. François-Xavier Le Dimet
  5. Badr Abou El Majd
  6. Julien Favier
  7. Andrea Piacentini

Papers from Aleksey K. Alekseev's perspective

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

  1. On the limited memory BFGS method for large scale optimization
  2. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
  3. Numerical methods for unconstrained optimization and nonlinear equations
  4. Practical optimization
  5. Updating Quasi-Newton Matrices With Limited Storage
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Large Scale Distributed Deep Networks
  8. ImageNet classification with deep convolutional neural networks
  9. GradientBased Learning Applied to Document Recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers