Le Song

Materials Chemistry · with Batra · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 78 citations into it; #7,950 of 11,513 by trust here, #10,845 by citations
• Computational Theory and Mathematics — 34 citations into it
• Computational Chemistry & Drug Discovery — 16 citations into it
• Artificial Intelligence — 15 citations into it
• Molecular Biology — 15 citations into it
• Mechanical Engineering — 7 citations into it
• AI for Physical Sciences — 5 citations into it

Whom Le Song trusts overall

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

1. Connor W. Coley
2. Marwin H. S. Segler
3. Benjamín Sánchez-Lengeling
4. Tian Xie
5. Kristof T. Schütt
6. Tomas Mikolov
7. S. Niezgoda
8. Francesca Rossi
9. J. Behler
10. Nongnuch Artrith

Who trusts Le Song overall

1. Nour Makke

Papers from Le Song's perspective

Ordered by how strongly the researchers Le Song 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. Attention is All you Need (Neural Information Processing Systems)
5. Efficient Estimation of Word Representations in Vector Space
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Scikit-learn: Machine Learning in Python
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Emerging materials intelligence ecosystems propelled by machine learning (2020) — 336 citations