Patrick Kidger

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Model Architectures — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical and Nonlinear Physics — 10 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Patrick Kidger trusts overall

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

1. Diederik P. Kingma
2. Prajit Ramachandran
3. Yulia Rubanova
4. T. Chen
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Allan Pinkus
8. Jimmy Ba
9. Hongyuan Mei
10. Zhou Lu

Who trusts Patrick Kidger overall

1. Albert Gu
2. Tri Dao

Papers from Patrick Kidger's perspective

Ordered by how strongly the researchers Patrick Kidger 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• On Neural Differential Equations (2022) — 504 citations
• Neural Controlled Differential Equations for Irregular Time Series (2020) — 758 citations
• Universal Approximation with Deep Narrow Networks (2019) — 430 citations