Nadine Schneider

Computational Chemistry & Drug Discovery · 2015–2017

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Nadine Schneider trusts overall

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

  1. David Weininger
  2. Stephen R. Heller
  3. David M. Blei
  4. Daniel M. Lowe

Who trusts Nadine Schneider overall

  1. Laurianne David
  2. Philippe Schwaller
  3. Amol Thakkar
  4. Carl N. Edwards
  5. Ross Irwin
  6. Michael Moret
  7. Kexin Huang
  8. Rocío Mercado
  9. Teodoro Laino
  10. Marwin H. S. Segler

Papers from Nadine Schneider's perspective

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

Their papers