Luke Anderson

2019

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Luke Anderson trusts overall

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

  1. Yuanming Hu
  2. Barak A. Pearlmutter
  3. Laurent Hascoët

Papers from Luke Anderson's perspective

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

  1. Automatic differentiation in PyTorch
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Interaction Networks for Learning about Objects, Relations and Physics
  5. A Compositional Object-Based Approach to Learning Physical Dynamics
  6. Gradient-based learning applied to document recognition
  7. TensorFlow: A system for large-scale machine learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers