Christoph Lüscher

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Christoph Lüscher trusts overall

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

  1. Albert Zeyer
  2. Hermann Ney
  3. Ralf Schlüter
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Alex Graves
  8. Dzmitry Bahdanau
  9. Martin Sundermeyer
  10. Timothy Dozat

Who trusts Christoph Lüscher overall

  1. Alexei Baevski
  2. Abdel-rahman Mohamed
  3. Albert Zeyer
  4. Rundi Wu
  5. Shaoshi Ling
  6. Rohit Prabhavalkar
  7. Kyu J. Han
  8. Gabriel Synnaeve
  9. Duc Le
  10. Ralf Schlüter

Papers from Christoph Lüscher's perspective

Ordered by how strongly the researchers Christoph Lüscher 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers