Carmine Ventre

Economics and Econometrics · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carmine Ventre trusts overall

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

  1. Peter C. B. Phillips
  2. Shaen Corbet
  3. Jerome H. Friedman
  4. A. H. Dyhrberg
  5. Isaac Madan
  6. Irina Rish
  7. Claes Wohlin
  8. Thomas Oberlechner
  9. Elie Bouri
  10. Tomas Mikolov

Papers from Carmine Ventre's perspective

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

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

Their papers