Mike Preuss

Computational Chemistry & Drug Discovery · 2005–2017

A researcher in the Science corpus: 10 papers; trusts 32 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Mike Preuss trusts overall

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

  1. Nikolaus Hansen
  2. Anne Auger
  3. Marwin H. S. Segler
  4. Andreas Ostermeier
  5. Djork-Arné Clevert
  6. Darko Butina
  7. David Silver
  8. Hans-Georg Beyer
  9. Chris J. Maddison
  10. Mark P. Waller

Who trusts Mike Preuss overall

  1. Ilya Loshchilov
  2. Frank Hutter
  3. Caitong Yue
  4. Holger H. Hoos
  5. Yuxi Li
  6. B. Qu
  7. Yoshua Bengio
  8. Tim Rocktaschel
  9. Pascal Kerschke
  10. Quoc V. Le

Papers from Mike Preuss's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers