Giulia C. Fanti

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Giulia C. Fanti trusts overall

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

  1. Oliver Williams
  2. Frank McSherry
  3. Peter Kairouz
  4. Diederik P. Kingma
  5. Cynthia Dwork
  6. Ú. Erlingsson
  7. Geoffrey E. Hinton
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Giulia C. Fanti overall

  1. Tianhao Wang
  2. Ninghui Li
  3. Henry Corrigan-Gibbs
  4. Tejas D. Kulkarni
  5. Xiaokui Xiao
  6. Jong Wook Kim
  7. Damien Desfontaines
  8. Y. Yang
  9. Ning Wang
  10. Somesh Jha

Papers from Giulia C. Fanti's perspective

Ordered by how strongly the researchers Giulia C. Fanti 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. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. GENERATIVE ADVERSARIAL NETS
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers