Steve Y. Oudot

Computational Theory and Mathematics · 2005–2017

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Steve Y. Oudot trusts overall

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

  1. Robin Forman
  2. Herbert Edelsbrunner
  3. David Cohen-Steiner
  4. Nina Amenta
  5. Tamal K. Dey
  6. Afra Zomorodian
  7. Gunnar E. Carlsson
  8. Robert Ghrist
  9. Thierry Sousbie
  10. Eric R. Ziegel

Who trusts Steve Y. Oudot overall

  1. Mathieu Carrière
  2. Huy V. Vo
  3. Haizi Yu
  4. Bertrand Michel
  5. Frédéric Chazal
  6. Patrick Pérez
  7. Igor Mineyev
  8. Simon Fuhrmann
  9. Magnus Bakke Botnan
  10. W. Crawley‐Boevey

Papers from Steve Y. Oudot's perspective

Ordered by how strongly the researchers Steve Y. Oudot 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers