Julius Richter

Signal Processing · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julius Richter trusts overall

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

  1. Diederik P. Kingma
  2. Chandan K. A. Reddy
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Andrew Brock
  6. Yoshua Bengio
  7. Robin Scheibler
  8. Pascal Vincent
  9. Alex Krizhevsky
  10. Karen Simonyan

Who trusts Julius Richter overall

  1. Ziwei Luo
  2. Alexander H. Liu
  3. Chenshuang Zhang

Papers from Julius Richter's perspective

Ordered by how strongly the researchers Julius Richter 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers