Mathieu Sinn

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mathieu Sinn trusts overall

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

  1. Ian J. Goodfellow
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Nicolas Papernot
  5. Nicholas Carlini
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Alexey Kurakin
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Mathieu Sinn overall

  1. Marc-André Zöller
  2. Bryant Chen

Papers from Mathieu Sinn's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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