Aly A. Khan

Molecular Biology · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 22 citations into it
• Artificial Intelligence — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Aly A. Khan trusts overall

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

1. Yoshua Bengio
2. Matthew D. Zeiler
3. John D. Storey
4. Tobias Hamp

Papers from Aly A. Khan's perspective

Ordered by how strongly the researchers Aly A. Khan 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. Visualizing and Understanding Convolutional Networks
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. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Predicting protein‐protein interactions through sequence‐based deep learning (2018) — 339 citations
• Gender bias in autoimmunity is influenced by microbiota (2013) — 842 citations
• Corrigendum: Transfection of small RNAs globally perturbs gene regulation by endogenous microRNAs (2009) — 127 citations