Francesco Galluppi

Electrical and Electronic Engineering · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Galluppi trusts overall

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

  1. Chris Eliasmith
  2. Eugene M. Izhikevich
  3. Kwabena A. Boahen
  4. Thomas Serre
  5. Simon J. Thorpe
  6. Christoph Posch
  7. Herbert Jaeger
  8. S. Furber
  9. David G. Lowe
  10. Lior Wolf

Who trusts Francesco Galluppi overall

  1. Michael Pfeiffer
  2. Shimeng Yu
  3. Garrick Orchard
  4. Sumit Bam Shrestha
  5. S. Furber
  6. Saber Moradi
  7. Nikola K. Kasabov
  8. Thomas Pfeil
  9. Marcel Stimberg
  10. Kashu Yamazaki

Papers from Francesco Galluppi's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Speed of processing in the human visual system
  6. Robust Object Recognition with Cortex-Like Mechanisms
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Point-to-point connectivity between neuromorphic chips using address events

Their papers