Alexander I. J. Forrester

Computational Theory and Mathematics · 2007–2012

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander I. J. Forrester trusts overall

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

  1. Donald R. Jones
  2. Andy J. Keane
  3. Marc C. Kennedy
  4. Neil D. Lawrence
  5. András Sóbester
  6. Yuhai Wu
  7. Eric R. Ziegel
  8. Hans-Martin Gutmann
  9. Robert A. Lordo
  10. William J. Welch

Who trusts Alexander I. J. Forrester overall

  1. Benjamin Peherstorfer
  2. Yaochu Jin
  3. Karen E. Willcox
  4. Peter I. Frazier
  5. M. Giselle Fernández-Godino
  6. Zhonghua Han
  7. Felipe Antonio Chegury Viana
  8. Enrico Camporeale
  9. Tinkle Chugh
  10. Kirthevasan Kandasamy

Papers from Alexander I. J. Forrester's perspective

Ordered by how strongly the researchers Alexander I. J. Forrester trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers