Simone Forte

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Simone Forte trusts overall

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

  1. Shai Shalev-Shwartz
  2. Yurii E. Nesterov
  3. Martin Takác
  4. Peter Richtárik
  5. Martin Jaggi
  6. Tong Zhang
  7. Guo-Xun Yuan
  8. Tianbao Yang
  9. Jerome H. Friedman
  10. Virginia Smith

Who trusts Simone Forte overall

  1. Matilde Gargiani
  2. Shusen Wang
  3. Sai Praneeth Karimireddy
  4. Celestine Mendler-Dünner
  5. Martin Jaggi
  6. Virginia Smith
  7. Lie He
  8. Tian Li
  9. Jakub Konecný
  10. Anit Kumar Sahu

Papers from Simone Forte's perspective

Ordered by how strongly the researchers Simone Forte 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers