Julian Francis Miller

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 15 papers; trusts 50 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Francis Miller trusts overall

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

  1. John R. Koza
  2. Kenneth O. Stanley
  3. Gul Muhammad Khan
  4. Dominic Edward Job
  5. Risto Miikkulainen
  6. Faustino J. Gomez
  7. Vesselin K. Vassilev
  8. R. M. French
  9. Andrew James Turner
  10. David E. Moriarty

Who trusts Julian Francis Miller overall

  1. Gul Muhammad Khan
  2. Maryam Mahsal Khan
  3. Thomas Weise
  4. Masanori Suganuma
  5. Xin He
  6. Jörg Stork
  7. Andrew James Turner
  8. Yanan Sun
  9. David M. Halliday
  10. Andrew Brock

Papers from Julian Francis Miller's perspective

Ordered by how strongly the researchers Julian Francis Miller 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. Gradient-based learning applied to document recognition
  4. A Fast Learning Algorithm for Deep Belief Nets
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Human-level control through deep reinforcement learning
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers