Alberto Bernacchia

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Alberto Bernacchia trusts overall

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

  1. James Martens
  2. Radford M. Neal
  3. Shun-ichi Amari
  4. Diederik P. Kingma
  5. Jimmy Ba
  6. Roger Baker Grosse
  7. Yoshua Bengio
  8. Matthew D. Zeiler
  9. Geoffrey E. Hinton
  10. Razvan Pascanu

Who trusts Alberto Bernacchia overall

  1. Guodong Zhang
  2. Ta-Chu Kao
  3. Lei Huang
  4. Chaoqi Wang
  5. Kristopher T. Jensen
  6. Jie Qin
  7. Roger Baker Grosse
  8. Gido M. van de Ven

Papers from Alberto Bernacchia's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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