Nam H. Nguyen

Artificial Intelligence · with Kalagnanam · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it; #27,154 of 35,345 by trust here, #16,771 by citations
• Signal Processing — 27 citations into it; #5,716 of 7,572 by trust here, #3,309 by citations
• Computer Vision and Pattern Recognition — 23 citations into it
• Management Science and Operations Research — 14 citations into it; #8,931 of 11,946 by trust here, #4,430 by citations
• Model Architectures — 13 citations into it
• Natural Language Processing — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Nam H. Nguyen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sepp Hochreiter
5. Alex Krizhevsky
6. Yann LeCun
7. Diederik P. Kingma
8. Jacob Devlin
9. Ilya Sutskever
10. J. Urgen Schmidhuber

Who trusts Nam H. Nguyen overall

1. Donghao Luo
2. Shiyu Wang
3. Zhijian Xu
4. Tian Zhou
5. Xiaoming Shi
6. Abhimanyu Das
7. Si Chen
8. Vijayabharathi Ekambaram

Papers from Nam H. Nguyen's perspective

Ordered by how strongly the researchers Nam H. Nguyen 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Time Series is Worth 64 Words: Long-term Forecasting with Transformers (2022) — 4,010 citations
• TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting (2023) — 397 citations
• Estimating Information Flow in Neural Networks (2018) — 32 citations