Jan Hermann

Atomic and Molecular Physics, and Optics · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Hermann trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Loshchilov
  3. N. Drummond
  4. Kristof T. Schütt
  5. Jimmy Ba
  6. Frank Hutter
  7. Leslie N. Smith
  8. Geoffrey E. Hinton
  9. Alexandre Tkatchenko
  10. Michael Gastegger

Who trusts Jan Hermann overall

  1. Oliver T. Unke
  2. Michael Gastegger
  3. Kristof T. Schütt
  4. Mihail Bogojeski

Papers from Jan Hermann's perspective

Ordered by how strongly the researchers Jan Hermann 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  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