Matteo Rovere

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Matteo Rovere trusts overall

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

  1. Alex Krizhevsky
  2. T. Wiesel
  3. Diederik P. Kingma
  4. Roger Baker Grosse
  5. Geoffrey E. Hinton
  6. James Martens
  7. Carl Olson
  8. Max Welling
  9. Yoshua Bengio
  10. Jost Tobias Springenberg

Who trusts Matteo Rovere overall

  1. Alessandro Achille
  2. Aditya Golatkar
  3. Jonathan Frankle
  4. Stefano Soatto
  5. Nikolaos Passalis
  6. Stanislaw Jastrzebski

Papers from Matteo Rovere's perspective

Ordered by how strongly the researchers Matteo Rovere trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers