Charles Truong

Statistics and Probability · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 61 citations into it
• Artificial Intelligence — 33 citations into it
• Economics and Econometrics — 24 citations into it
• Molecular Biology — 19 citations into it
• Signal Processing — 14 citations into it
• Finance — 13 citations into it
• Statistical Learning Theory — 9 citations into it
• Genetics — 8 citations into it

Whom Charles Truong trusts overall

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

1. Jushan Bai
2. Pierre Perron
3. Piotr Fryzlewicz
4. Marc Lavielle
5. Zaïd Harchaoui
6. Lawrence R. Rabiner
7. Robert Tibshirani
8. Zhongjun Qu
9. Rebecca Killick
10. Paul Fearnhead

Papers from Charles Truong's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Regression Shrinkage and Selection via the Lasso
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Selective review of offline change point detection methods (2020) — 1,194 citations
• A review of change point detection methods (2018) — 204 citations