Alex Morehead

Artificial Intelligence · 2021

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

• Artificial Intelligence — 11 citations into it
• Materials Chemistry — 11 citations into it

Whom Alex Morehead trusts overall

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

1. Vijay Prakash Dwivedi
2. Liang-Chieh Chen
3. Kaiming He
4. John Ingraham
5. Pavel Izmailov
6. Diederik P. Kingma
7. Geoffrey E. Hinton
8. Max Welling
9. Pablo Gainza
10. Hong Zeng

Papers from Alex Morehead's perspective

Ordered by how strongly the researchers Alex Morehead 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Geometric Transformers for Protein Interface Contact Prediction (2021) — 35 citations