Na Le Dang

Computational Theory and Mathematics · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 19 citations into it; #7,615 of 12,182 by trust here, #6,165 by citations
• Computational Chemistry & Drug Discovery — 15 citations into it

Whom Na Le Dang trusts overall

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

1. R. Ramakrishnan
2. Matthias Rupp 

Who trusts Na Le Dang overall

1. Garrett B. Goh
2. Charles Siegel

Papers from Na Le Dang's perspective

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

1. Quantum chemistry structures and properties of 134 kilo molecules
2. PubChem: Integrated Platform of Small Molecules and Biological Activities
3. Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
4. Original Contribution: Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
5. Algorithm design
6. Learning to Predict Chemical Reactions
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet classification with deep convolutional neural networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Modeling Reactivity to Biological Macromolecules with a Deep Multitask Network (2016) — 95 citations
• Learning a Local-Variable Model of Aromatic and Conjugated Systems (2018) — 26 citations