Samuel Marchal

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 6 papers; trusts 57 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Marchal trusts overall

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

  1. Manos Antonakakis
  2. Geoffrey E. Hinton
  3. Ian J. Goodfellow
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Nicholas Carlini
  7. Yoshua Bengio
  8. Kaiming He
  9. Nicolas Papernot
  10. Diederik P. Kingma

Who trusts Samuel Marchal overall

  1. T. D. Nguyen
  2. Adam Dziedzic
  3. Tribhuvanesh Orekondy
  4. Syeda Manjia Tahsien

Papers from Samuel Marchal's perspective

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

Their papers