Andreas Noack

Statistical and Nonlinear Physics · 2007–2019

A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas Noack trusts overall

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

  1. Mark Newman
  2. Sanjeev Arora
  3. Satish Rao
  4. Steven H. Strogatz
  5. Umesh V. Vazirani
  6. Ron Davidson
  7. Michelle Girvan
  8. I. Borg
  9. Réka Albert
  10. N. Linial

Who trusts Andreas Noack overall

  1. Mathieu Jacomy
  2. Stephen G. Kobourov
  3. Santo Fortunato
  4. Sebastien Heymann
  5. Tommaso Venturini
  6. Amanda L. Traud
  7. Venkata Rama Kiran Garimella
  8. Yuxi Wang
  9. Mathieu Bastian
  10. J. Böhm

Papers from Andreas Noack's perspective

Ordered by how strongly the researchers Andreas Noack 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. The Structure and Function of Complex Networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers