William Vega-Brown

Aerospace Engineering · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 15 citations into it; #4,902 of 6,421 by trust here, #4,945 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #17,614 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 6 citations into it; #28,655 of 35,345 by trust here, #28,481 by citations

Whom William Vega-Brown trusts overall

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

1. Andreas Geiger
2. T. Barfoot
3. Adam Bry
4. Philip Lenz
5. Christian Kerl
6. Raia Hadsell
7. Yann LeCun

Who trusts William Vega-Brown overall

1. Charles Richter
2. Gregory Kahn

Papers from William Vega-Brown's perspective

Ordered by how strongly the researchers William Vega-Brown trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Bayesian Learning for Safe High-Speed Navigation in Unknown Environments (2015) — 77 citations
• PROBE-GK: Predictive robust estimation using generalized kernels (2016) — 19 citations