Paolo Gasti

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Gasti trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Christopher K. I. Williams
  5. Yann LeCun
  6. Pascal Paillier
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Michael J. Freedman
  10. Alex Krizhevsky

Who trusts Paolo Gasti overall

  1. Alex Davidson
  2. Nektaria Kaloudi

Papers from Paolo Gasti's perspective

Ordered by how strongly the researchers Paolo Gasti 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. 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. 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