Bernard Victorri

Statistical Learning Theory · 1991–2000

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Bernard Victorri trusts overall

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

  1. Yann LeCun
  2. L. Eon Bottou
  3. Vladimir Naumovich Vapnik

Who trusts Bernard Victorri overall

  1. Sebastian Thrun
  2. Yoshua Bengio
  3. Alex Hernandez-Garcia
  4. James Martens
  5. Salah Rifai
  6. Yann LeCun
  7. Bernhard Schölkopf
  8. Julian Salazar
  9. Charles M. Bishop
  10. Pascal Vincent

Papers from Bernard Victorri's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Handwritten Digit Recognition with a Back-Propagation Network
  5. Long Short-Term Memory
  6. Self-Organization and Associative Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers