Chris Leary

2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Chris Leary trusts overall

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

1. Dougal Maclaurin

Who trusts Chris Leary overall

1. Sam Schoenholz
2. Krzysztof Marcin Choromanski
3. Adam Gaier

Papers from Chris Leary's perspective

Ordered by how strongly the researchers Chris Leary trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Striving for Simplicity: The All Convolutional Net
3. The NumPy Array: A Structure for Efficient Numerical Computation
4. Deep Learning with Limited Numerical Precision
5. DaDianNao: A Machine-Learning Supercomputer
6. The tail at scale
7. Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks
8. Programmable Neurocomputing
9. Identifying Shades of Green: The SPECpower Benchmarks
10. Computer Architecture A Quantitative Approach 2nd Edition

Their papers

• In-datacenter performance analysis of a tensor processing unit (2017) — 5,323 citations
• Compiling machine learning programs via high-level tracing (2018) — 441 citations