Mathieu Blondel

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 6 papers; trusts 63 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mathieu Blondel trusts overall

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

  1. Diederik P. Kingma
  2. Yurii E. Nesterov
  3. Marco Cuturi
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Dong C. Liu
  7. André F. T. Martins
  8. Jimmy Ba
  9. Shai Shalev-Shwartz
  10. Alex Krizhevsky

Who trusts Mathieu Blondel overall

  1. Ben Peters
  2. Vlad Niculae
  3. André F. T. Martins
  4. Jean-Baptiste Cordonnier
  5. Luke Metz
  6. Yan Zhang
  7. Jeff Donahue
  8. Matthias Feurer
  9. Isaac Elias

Papers from Mathieu Blondel's perspective

Ordered by how strongly the researchers Mathieu Blondel 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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