Axel S. Feldmann

Micro · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Axel S. Feldmann trusts overall

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

  1. Craig Gentry
  2. Alex Krizhevsky
  3. Wei Wang
  4. Shai Halevi
  5. Chris Peikert
  6. Vadim Lyubashevsky
  7. Yann LeCun
  8. Zvika Brakerski
  9. Jung Hee Cheon
  10. Sujoy Sinha Roy

Papers from Axel S. Feldmann's perspective

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

  1. Gradient-based learning applied to document recognition
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers