Thomas E. Potok

Electrical and Electronic Engineering · 2005–2017

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 80 citations into it
• Artificial Intelligence — 39 citations into it; #15,643 of 35,345 by trust here, #19,873 by citations
• Cognitive Neuroscience — 30 citations into it
• Optimization & Training — 7 citations into it

Whom Thomas E. Potok trusts overall

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

1. Eugene M. Izhikevich
2. R. Eberhart
3. Geoffrey E. Hinton
4. David E. Rumelhart
5. Yoshua Bengio
6. Yann LeCun
7. Alex Krizhevsky
8. Giacomo Indiveri

Who trusts Thomas E. Potok overall

1. Zong Woo Geem
2. Julia Handl
3. Laith Mohammad Abualigah
4. Ahmed Ali Abdalla Esmin
5. Vinod K. Sangwan
6. Mohammed Affan Zidan

Papers from Thomas E. Potok's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. ImageNet Large Scale Visual Recognition Challenge
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Et al
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Survey of Neuromorphic Computing and Neural Networks in Hardware (2017) — 805 citations
• Evolving Deep Networks Using HPC (2017) — 45 citations
• Document clustering using particle swarm optimization (2005) — 385 citations