Aengus Lynch

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Aengus Lynch trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Yann LeCun
4. Diederik P. Kingma
5. Yoshua Bengio
6. Alex Krizhevsky
7. Victor Sanh
8. Kaiming He
9. Ilya Sutskever

Papers from Aengus Lynch's perspective

Ordered by how strongly the researchers Aengus Lynch 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. Attention is All you Need (Neural Information Processing Systems)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Language Models are Unsupervised Multitask Learners
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards Automated Circuit Discovery for Mechanistic Interpretability (2023) — 720 citations