Ryan M. Ahmed

Automotive Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 9 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Ryan M. Ahmed trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma

Papers from Ryan M. Ahmed's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Speech recognition with deep recurrent neural networks
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Recurrent Neural Network Regularization
7. On the difficulty of training recurrent neural networks
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries (2018) — 687 citations