Christopher J. Williams

Artificial Intelligence · with Beaulieu-Jones · 2017

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

Subfields

• Artificial Intelligence — 24 citations into it

Whom Christopher J. Williams trusts overall

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

1. Diederik P. Kingma
2. Cynthia Dwork

Papers from Christopher J. Williams's perspective

Ordered by how strongly the researchers Christopher J. Williams 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. Differential Privacy
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Deep Learning with Differential Privacy
6. Calibrating Noise to Sensitivity in Private Data Analysis
7. k-Anonymity: A Model for Protecting Privacy
8. The Algorithmic Foundations of Differential Privacy
9. Gradient-based learning applied to document recognition
10. Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays

Their papers

• Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing (2017) — 468 citations