Louis-Martin Rousseau

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Louis-Martin Rousseau trusts overall

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

  1. Ronald J. Williams

Who trusts Louis-Martin Rousseau overall

  1. Xinyun Chen

Papers from Louis-Martin Rousseau's perspective

Ordered by how strongly the researchers Louis-Martin Rousseau trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Human-level control through deep reinforcement learning
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Understanding the difficulty of training deep feedforward neural networks
  8. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  9. ImageNet classification with deep convolutional neural networks
  10. Recurrent Models of Visual Attention

Their papers