Robert Hecht-Nielsen

Model Architectures · 1989–1995

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 78 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 7 citations into it; #223 of 2,278 by trust here, #969 by citations

Whom Robert Hecht-Nielsen trusts overall

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

1. Gail A. Carpenter
2. Stephen Grossberg
3. Paul J. Werbos
4. Suzanna Becker
5. Shun-ichi Amari
6. Kunihiko Fukushima
7. Kurt Hornik
8. Geoffrey E. Hinton
9. John J. Hopfield
10. Ronald J. Williams

Who trusts Robert Hecht-Nielsen overall

1. Kyuyeon Hwang
2. Jenni A. M. Sidey-Gibbons
3. Ehsan Hoseinzade
4. Colby Wight
5. Graham J. Williams
6. Simon Hawkins
7. Haohan Wang
8. Seonwoo Min
9. M. Borkowski
10. Mufti Mahmud

Papers from Robert Hecht-Nielsen's perspective

Ordered by how strongly the researchers Robert Hecht-Nielsen trusts endorse each paper. Same corpus, a different order for every researcher.

1. A massively parallel architecture for a self-organizing neural pattern recognition machine
2. Learning internal representations by error propagation
3. ART 2: self-organization of stable category recognition codes for analog input patterns.
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Neural networks and physical systems with emergent collective computational abilities.
8. Long Short-Term Memory
9. A Fast Learning Algorithm for Deep Belief Nets
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Replicator neural networks for universal optimal source coding. (1995)
• Theory of the backpropagation neural network (1989)