David Neumann

Electrical and Electronic Engineering · with Utschick · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom David Neumann trusts overall

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

  1. Xiongbin Rao
  2. Xavier Glorot
  3. Robert M. Gray
  4. Ahmed Alkhateeb
  5. T. Marzetta
  6. Vincent Kin Nang Lau
  7. Antoine Bordes
  8. Theodore Ted S. Rappaport
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts David Neumann overall

  1. Robin Chataut
  2. Alessio Zappone
  3. Emil Björnson
  4. Robert Akl
  5. Osvaldo Simeone
  6. M. Di Renzo
  7. Luca Sanguinetti
  8. Xingqin Lin

Papers from David Neumann's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Deep Sparse Rectifier Neural Networks
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers