Nicolas Turpault

Signal Processing · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Turpault trusts overall

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

  1. Annamaria Mesaros
  2. David Snyder
  3. Justin Salamon
  4. Romain Serizel
  5. Tuomas Virtanen
  6. Toni Heittola
  7. Scott Wisdom
  8. Jort Florent Gemmeke
  9. Frederic Font
  10. Eduardo Fonseca

Who trusts Nicolas Turpault overall

  1. Eduardo Fonseca
  2. Scott Wisdom
  3. Shawn Hershey
  4. Romain Serizel
  5. D. Ellis
  6. Hakan Erdogan
  7. Aren Jansen
  8. John R. Hershey
  9. Xavier Favory

Papers from Nicolas Turpault's perspective

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

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

Their papers