Nicolas Hug

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Hug trusts overall

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

  1. Wes McKinney
  2. Robert W. Bradshaw
  3. Gaël Varoquaux
  4. Charu C. Aggarwal

Who trusts Nicolas Hug overall

  1. Owain Evans
  2. Andreas Stuhlmüller
  3. Chris Cundy

Papers from Nicolas Hug's perspective

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

  1. The NumPy Array: A Structure for Efficient Numerical Computation
  2. Cython: The Best of Both Worlds
  3. Data Structures for Statistical Computing in Python
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers