Daniel S. Himmelstein

Molecular Biology · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel S. Himmelstein trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Brett K. Beaulieu-Jones
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Olivier Bodenreider
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Jimmy Ba
  10. Alex Graves

Who trusts Daniel S. Himmelstein overall

  1. Alexander Rakhlin
  2. Alexandr A Kalinin
  3. Vladimir I. Iglovikov
  4. Alexey A. Shvets

Papers from Daniel S. Himmelstein's perspective

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

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

Their papers