Pascal Friederich

Materials Chemistry · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pascal Friederich trusts overall

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

  1. J. Behler
  2. A. P. Bart'ok
  3. Matthias Rupp 
  4. Stefan Grimme
  5. Gábor Csányi
  6. Stefan Chmiela
  7. Michael Gastegger
  8. Kristof T. Schütt
  9. Volker L. Deringer
  10. Alexandre Tkatchenko

Papers from Pascal Friederich's perspective

Ordered by how strongly the researchers Pascal Friederich 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers