M. Ahsan

Molecular Biology · with Babu · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 56 citations into it
• Computational Theory and Mathematics — 43 citations into it
• Artificial Intelligence — 24 citations into it
• Computational Chemistry & Drug Discovery — 16 citations into it
• Biophysics — 11 citations into it
• Generative Models — 5 citations into it

Whom M. Ahsan trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma

Papers from M. Ahsan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Deep Architectures for AI
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Greedy Layer-Wise Training of Deep Networks

Their papers

• Machine Learning in Drug Discovery: A Review (2021) — 625 citations