Divyanshi Srivastava

Molecular Biology · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 22 citations into it

Whom Divyanshi Srivastava trusts overall

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

1. Daniel Quang
2. Timothy L. Bailey
3. Mukund Sundararajan
4. Kay Henning Brodersen
5. Jiquan Ngiam
6. Xiaohui S. Xie
7. Charles Peter Elkan
8. Ankur Taly
9. Cheng Soon Ong

Who trusts Divyanshi Srivastava overall

1. Rishabh Agarwal
2. Nicholas Frosst

Papers from Divyanshi Srivastava's perspective

Ordered by how strongly the researchers Divyanshi Srivastava 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. How transferable are features in deep neural networks?

Their papers

• An interpretable bimodal neural network characterizes the sequence and preexisting chromatin predictors of induced transcription factor binding (2021) — 23 citations