Damien François

Signal Processing · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Damien François trusts overall

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

  1. Josh Tenenbaum
  2. Charu C. Aggarwal
  3. Christian Böhm
  4. Daniel A. Keim
  5. Alexander Hinneburg
  6. Stefan Berchtold
  7. Bernhard Schölkopf
  8. Richard Bellman
  9. Charles Peter Elkan
  10. Vin de Silva

Who trusts Damien François overall

  1. Renato Cordeiro de Amorim
  2. Miloš Radovanović
  3. Boris G. Mirkin
  4. John Aldo Lee
  5. Leo Liberti
  6. Zhiqiang Guo
  7. Alexandros Nanopoulos
  8. Arthur Zimek

Papers from Damien François's perspective

Ordered by how strongly the researchers Damien François 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers