Josh C. Bongard

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 8 papers; trusts 33 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Josh C. Bongard trusts overall

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

  1. Inman R. Harvey
  2. Max Lungarella
  3. Joseph Weizenbaum
  4. John R. Koza
  5. Rolf Pfeifer
  6. Günter P. Wagner
  7. Auke Jan Ijspeert
  8. Simon Garrod
  9. Jon Bird
  10. Sebastian Thrun

Who trusts Josh C. Bongard overall

  1. Steven L. Brunton
  2. J. Nathan Kutz
  3. N. Mangan
  4. Maizar Raissi
  5. Joshua L. Proctor
  6. Bernd R. Noack
  7. Kadierdan Kaheman
  8. Tong Qin
  9. Niklas Pfister
  10. David R Ha

Papers from Josh C. Bongard's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Human-level control through deep reinforcement learning
  3. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Intriguing properties of neural networks
  6. Long Short-Term Memory
  7. Visualizing and Understanding Convolutional Networks
  8. Gradient-based learning applied to document recognition
  9. Overcoming catastrophic forgetting in neural networks
  10. ImageNet: A large-scale hierarchical image database

Their papers