Stephan Rasp

Atmospheric Science · 2018–2023

A researcher in the Science corpus: 7 papers; trusts 42 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Stephan Rasp trusts overall

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

  1. Diederik P. Kingma
  2. Leo Breiman
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Tilmann Gneiting
  6. Nicolai Meinshausen
  7. Ilya Sutskever
  8. D. Wilks
  9. Yann LeCun
  10. W. Landman

Who trusts Stephan Rasp overall

  1. Jonathan A. Weyn
  2. Peter Dueben
  3. Manuel Gebetsberger
  4. Dale R. Durran
  5. Martin G. Schultz
  6. Jared D. Willard
  7. Lasse Espeholt
  8. Peter Bauer
  9. R. Caruana
  10. Hugh Morrison

Papers from Stephan Rasp's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers