Wes Gurnee

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 111 citations into it
• Large Language Models — 30 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Natural Language Processing — 28 citations into it
• Safety, Robustness & Interpretability — 26 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Cognitive Neuroscience — 8 citations into it

Whom Wes Gurnee trusts overall

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

1. Yonatan Belinkov
2. Yoshua Bengio
3. Guillaume Alain
4. Geoffrey E. Hinton
5. David Ruppert
6. Diederik P. Kingma
7. Alec Radford
8. Ilya Sutskever
9. Philipp Koehn
10. Alex Krizhevsky

Who trusts Wes Gurnee overall

1. Leonard Bereska
2. Chris Wendler
3. Max Tegmark
4. Max Vargas
5. Kiho Park
6. Efstratios Gavves

Papers from Wes Gurnee's perspective

Ordered by how strongly the researchers Wes Gurnee 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Refusal in Language Models Is Mediated by a Single Direction (2024) — 866 citations
• Finding Neurons in a Haystack: Case Studies with Sparse Probing (2023) — 363 citations
• Language Models Represent Space and Time (2023) — 357 citations