Patrick Rinke

Atomic and Molecular Physics, and Optics · 2005–2019

A researcher in the Science corpus: 19 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Patrick Rinke trusts overall

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

  1. David Weininger
  2. J. Perdew
  3. L. Eon Bottou
  4. M. Ernzerhof
  5. Yann LeCun
  6. Lihong Hu
  7. Attila Szabó
  8. Geoffrey R. Hutchison
  9. Kieron Burke
  10. Geoffrey E. Hinton

Who trusts Patrick Rinke overall

  1. Jack R. Deslippe
  2. Stephan Kümmel
  3. Xiaobing Luo
  4. S. Lany
  5. Xinguo Ren
  6. Xia Leng

Papers from Patrick Rinke's perspective

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

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

Their papers