Colin Carroll

Artificial Intelligence · 2008–2023

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Colin Carroll trusts overall

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

  1. Zoubin Ghahramani
  2. Andrew Gelman
  3. Frank Morgan
  4. Stephan Hoyer
  5. Jonah Gabry
  6. Matthew D. Hoffman

Who trusts Colin Carroll overall

  1. Antonio Cañete
  2. Aki Vehtari
  3. Andrew Gelman
  4. Michele Miranda Jr.

Papers from Colin Carroll's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
  3. Probabilistic programming in Python using PyMC3
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Probabilistic machine learning and artificial intelligence
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers