Renato Faccini

Economics and Econometrics · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Renato Faccini trusts overall

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

  1. Gregor Heinrich
  2. Eugene F. Fama
  3. Patrick Bolton
  4. T. Griffiths
  5. Christina D. Romer
  6. Philipp Krueger
  7. David M. Blei
  8. Scott R. Baker
  9. Matthew Gentzkow
  10. Michael Barnett

Papers from Renato Faccini's perspective

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

  1. Latent Dirichlet Allocation
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Finding scientific topics
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers