Francesco Piccialli

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Piccialli trusts overall

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

  1. Maizar Raissi
  2. Geoffrey E. Hinton
  3. G. Em Karniadakis
  4. Yoshua Bengio
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Alex Graves
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. J. Urgen Schmidhuber

Papers from Francesco Piccialli's perspective

Ordered by how strongly the researchers Francesco Piccialli 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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers