Edouard Pauwels

Optimization & Training · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Edouard Pauwels trusts overall

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

  1. Martin Jaggi
  2. Amir Beck
  3. Yurii E. Nesterov
  4. John C. Duchi
  5. Jean B. Lasserre
  6. H. Brendan McMahan
  7. Gene H. Golub
  8. Simon Lacoste-Julien
  9. Shai Shalev-Shwartz
  10. B. Taskar

Who trusts Edouard Pauwels overall

  1. Fabian Pedregosa

Papers from Edouard Pauwels's perspective

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

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

Their papers