Emanuël Habets

Signal Processing · 2007–2018

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Emanuël Habets trusts overall

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

  1. Joseph H. DiBiase
  2. Diederik P. Kingma
  3. Scott T. Rickard
  4. Geoffrey E. Hinton
  5. Nitish Srivastava
  6. Jacob Benesty
  7. Yiteng Huang
  8. Jesse Read
  9. Jimmy Ba
  10. Alex Krizhevsky

Who trusts Emanuël Habets overall

  1. Sanyuan Chen
  2. Soumitro Chakrabarty
  3. Zhuo Chen
  4. Yu Wu
  5. Georgios K. Papageorgiou
  6. Pierre-Amaury Grumiaux
  7. Chengyi Wang
  8. Jinyu Li
  9. Takuya Yoshioka
  10. Shujie Liu

Papers from Emanuël Habets's perspective

Ordered by how strongly the researchers Emanuël Habets 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. Dropout: a simple way to prevent neural networks from overfitting
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers