Filippo Molinari

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 97 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Filippo Molinari trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Sergey Ioffe
  6. Shaoqing Ren
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Filippo Molinari overall

  1. Fatemeh Afghah
  2. Sajad Mousavi
  3. Usha R. Acharya

Papers from Filippo Molinari's perspective

Ordered by how strongly the researchers Filippo Molinari 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers