Martin Brossard

Aerospace Engineering · 2019

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 Martin Brossard trusts overall

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

  1. Jean-Emmanuel Deschaud
  2. Raul Mur-Artal
  3. Tuomas Haarnoja
  4. Juan D. Tardós
  5. D. Simon
  6. Anurag Ajay
  7. Sergey Levine
  8. Diederik P. Kingma

Papers from Martin Brossard's perspective

Ordered by how strongly the researchers Martin Brossard 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Learning
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers