Nicolas Poilvert

Materials Chemistry · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Poilvert trusts overall

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

  1. Stéphane Mallat
  2. A. P. Bart'ok
  3. Joan Bruna
  4. Matthias Rupp 
  5. Alex Krizhevsky
  6. Laurent Sifre
  7. Gábor Csányi
  8. Edouard Oyallon
  9. Risi Kondor
  10. Geoffrey E. Hinton

Who trusts Nicolas Poilvert overall

  1. Stéphane Mallat
  2. Michael Eickenberg

Papers from Nicolas Poilvert's perspective

Ordered by how strongly the researchers Nicolas Poilvert 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  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