Nicholas E. Charron

Molecular Biology · 2020

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

Subfields

• Molecular Biology — 37 citations into it

Whom Nicholas E. Charron trusts overall

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

1. W. Noid
2. Kristof T. Schütt
3. Frank No'e
4. David Sculley
5. Diederik P. Kingma
6. Vijay S. Pande
7. Kaiming He
8. ST John
9. Rhiju Das
10. Brooke E. Husic

Papers from Nicholas E. Charron's perspective

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

Their papers

• Coarse graining molecular dynamics with graph neural networks. (2020) — 219 citations