Joachim Büschken

Marketing · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joachim Büschken trusts overall

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

  1. Peter E. Rossi
  2. Oded Netzer
  3. David M. Blei
  4. Greg M. Allenby
  5. Michal Rosen-Zvi
  6. Andrew Y. Ng
  7. Michael I. Jordan
  8. James M. Lattin
  9. Anindya Ghose
  10. Chaitanya Chemudugunta

Who trusts Joachim Büschken overall

  1. Xiao Liu

Papers from Joachim Büschken's perspective

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

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

Their papers