Ian A. D. Williamson

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Optimization & Training — 5 citations into it

Whom Ian A. D. Williamson trusts overall

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

1. Michael I. Jordan
2. Diederik P. Kingma
3. O. von Stryk
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yoshua Bengio
7. Jerome T. Connor
8. Yann LeCun
9. Ilya Sutskever
10. M. Giles

Papers from Ian A. D. Williamson's perspective

Ordered by how strongly the researchers Ian A. D. Williamson 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. ImageNet: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Wave physics as an analog recurrent neural network (2019) — 343 citations
• Experimentally realized in situ backpropagation for deep learning in photonic neural networks (2022) — 338 citations
• Adjoint Method and Inverse Design for Nonlinear Nanophotonic Devices (2018) — 303 citations