Lorenzo Francesco Livi

Artificial Intelligence · 2015–2019

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

Subfields

Whom Lorenzo Francesco Livi trusts overall

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

  1. Yann LeCun
  2. Thomas Kipf
  3. Joan Bruna
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Max Welling
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. James Atwood
  10. Inderjit S. Dhillon

Who trusts Lorenzo Francesco Livi overall

  1. Xiyuan Wang

Papers from Lorenzo Francesco Livi's perspective

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

Their papers