Shashank Singh

Molecular Biology · with Ma · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 30 citations into it
• Artificial Intelligence — 8 citations into it
• Computational Biology & Bioinformatics — 6 citations into it

Whom Shashank Singh trusts overall

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

1. Xavier Glorot
2. Diederik P. Kingma
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. David E. Rumelhart
7. Yifeng Li
8. Jian Zhou
9. Daniel Quang
10. Jimmy Ba

Papers from Shashank Singh's perspective

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

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

Their papers

• Predicting enhancer-promoter interaction from genomic sequence with deep neural networks (2016) — 153 citations