H. Buhler

Finance · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Buhler trusts overall

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

  1. Hans Föllmer
  2. Diederik P. Kingma
  3. David W. Lu
  4. Jimmy Ba
  5. Kurt Hornik
  6. St'ephane Cr'epey

Who trusts H. Buhler overall

  1. Ben M. Hambly
  2. Renyuan Xu

Papers from H. Buhler's perspective

Ordered by how strongly the researchers H. Buhler 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers