Mike Davies

Electrical and Electronic Engineering · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 30 citations into it
• Cellular and Molecular Neuroscience — 11 citations into it

Whom Mike Davies trusts overall

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

1. Kwabena A. Boahen
2. Chris Eliasmith
3. Karol Gregor
4. Duncan J. Watts
5. Yann LeCun
6. Sumit Bam Shrestha
7. Guillaume Bellec
8. Emma Strubell
9. Michael Milford
10. Yoshua Bengio

Who trusts Mike Davies overall

1. Jason Kamran Eshraghian
2. Catherine D. Schuman
3. Nitin Rathi
4. Michael Pfeiffer
5. Jacques Kaiser
6. Yujie Wu
7. Man Yao
8. Kashu Yamazaki
9. Charlotte Frenkel
10. Kaushik Roy

Papers from Mike Davies's perspective

Ordered by how strongly the researchers Mike Davies 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Loihi: A Neuromorphic Manycore Processor with On-Chip Learning (2018) — 3,577 citations
• Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook (2021) — 642 citations