Nicolas Flammarion

Artificial Intelligence · Neural Information Processing Systems · 2016–2024

A researcher in the Science corpus: 5 papers; trusts 102 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Flammarion trusts overall

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

  1. Sara A. van de Geer
  2. Alexandre B. Tsybakov
  3. Kaiming He
  4. Sabyasachi Chatterjee
  5. Cun-Hui Zhang
  6. Shahar Mendelson
  7. Pierre C. Bellec
  8. Ian J. Goodfellow
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Who trusts Nicolas Flammarion overall

  1. Tianyu Pang
  2. Francesco Croce
  3. Adityanand Guntuboyina
  4. Martin Slawski

Papers from Nicolas Flammarion's perspective

Ordered by how strongly the researchers Nicolas Flammarion 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers