Daniele Bianchi

Economics and Econometrics · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Daniele Bianchi trusts overall

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

  1. Béla Bollobás
  2. Michael I. Jordan
  3. Jerome H. Friedman
  4. James H. Stock
  5. Ralitsa Petkova
  6. Trevor J. Hastie
  7. Hui Zou
  8. Ilya Sutskever
  9. Tong Tong Wu
  10. Eugene F. Fama

Who trusts Daniele Bianchi overall

  1. Omer Berat Sezer
  2. Luyang Chen
  3. M. Ugur Gudelek
  4. Markus Pelger

Papers from Daniele Bianchi's perspective

Ordered by how strongly the researchers Daniele Bianchi 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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