Lukas Heinrich

Nuclear and High Energy Physics · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lukas Heinrich trusts overall

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

  1. Radford M. Neal
  2. Matthew D. Hoffman
  3. Diederik P. Kingma
  4. Max Welling
  5. Yann LeCun
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. David Wingate
  9. Dustin Tran
  10. Danilo Jimenez Rezende

Papers from Lukas Heinrich's perspective

Ordered by how strongly the researchers Lukas Heinrich 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. 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers