Leo Liberti

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 5 papers; trusts 78 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Leo Liberti trusts overall

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

  1. Charu C. Aggarwal
  2. J. Urgen Schmidhuber
  3. Diederik P. Kingma
  4. Yann LeCun
  5. J. Dattorro
  6. Geoffrey E. Hinton
  7. Miroslav Fiedler
  8. Yoshua Bengio
  9. Alexander I. Barvinok
  10. Santo Fortunato

Who trusts Leo Liberti overall

  1. Zuo-Jun Max Shen
  2. Stefano V. Albrecht
  3. Gleb Beliakov
  4. Peter Stone
  5. Minkai Xu
  6. Arnold Neumaier
  7. Thomas Weise
  8. Julius Zilinskas
  9. Chence Shi
  10. Ana Pradera

Papers from Leo Liberti's perspective

Ordered by how strongly the researchers Leo Liberti 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers