Louis Mandel

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Louis Mandel trusts overall

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

  1. Matthew D. Hoffman
  2. Dustin Tran
  3. Andrew Gelman
  4. Alp Kucukelbir
  5. John K. Kruschke
  6. Joseph Hilbe
  7. David M. Blei
  8. Guillaume Baudart
  9. Radford M. Neal
  10. S. Staton

Papers from Louis Mandel's perspective

Ordered by how strongly the researchers Louis Mandel 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. GENERATIVE ADVERSARIAL NETS
  9. Gradient-based learning applied to document recognition
  10. Probabilistic programming in Python using PyMC3

Their papers