C. Eng

Nuclear and High Energy Physics · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Nuclear and High Energy Physics — 24 citations into it; #4,969 of 6,161 by trust here, #4,734 by citations
• Artificial Intelligence — 12 citations into it

Whom C. Eng trusts overall

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

1. Jesse Thaler
2. Diederik P. Kingma
3. A. Larkoski

Who trusts C. Eng overall

1. Patrick T. Komiske

Papers from C. Eng's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
3. Scikit-learn: Machine Learning in Python
4. Practical Bayesian Optimization of Machine Learning Algorithms
5. Theano: new features and speed improvements
6. Maximizing boosted top identification by minimizing N-subjettiness (Journal of High Energy Physics)
7. Identifying boosted objects with N-subjettiness
8. ImageNet classification with deep convolutional neural networks
9. Energy correlation functions for jet substructure
10. Herwig++ physics and manual

Their papers

• Jet Substructure Classification in High-Energy Physics with Deep Neural Networks (2016) — 204 citations