Martin Lefebvre

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Lefebvre trusts overall

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

  1. Yann LeCun
  2. Romain Brette
  3. Eugene M. Izhikevich
  4. Saber Moradi
  5. Matthieu Courbariaux
  6. Wulfram Gerstner

Papers from Martin Lefebvre's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. A million spiking-neuron integrated circuit with a scalable communication network and interface
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. The mnist database of handwritten digits
  6. Simple model of spiking neurons
  7. Learning Multiple Layers of Features from Tiny Images
  8. Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing (IEEE International Joint Conference on Neural Network)
  9. Point-to-point connectivity between neuromorphic chips using address events
  10. Long Short-Term Memory

Their papers