Alain C. Vaucher

Computational Theory and Mathematics · 2018–2025

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

Subfields

Whom Alain C. Vaucher trusts overall

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

  1. J. Urgen Schmidhuber
  2. Connor W. Coley
  3. Jan H. Jensen
  4. Marwin H. S. Segler
  5. Sepp Hochreiter

Who trusts Alain C. Vaucher overall

  1. Simon Axelrod
  2. Rafael Gómez‐Bombarelli

Papers from Alain C. Vaucher's perspective

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

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

Their papers