Andreas Wild

Electrical and Electronic Engineering · with Davies · 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 Andreas Wild 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. Sumit Bam Shrestha
6. Yann LeCun

Papers from Andreas Wild's perspective

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

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

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