Michael P. Owen

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #20,003 of 35,345 by trust here, #24,417 by citations
• Optimization & Training — 5 citations into it

Whom Michael P. Owen trusts overall

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

1. Matthew D. Zeiler

Who trusts Michael P. Owen overall

1. Guy Katz

Papers from Michael P. Owen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Efficient BackProp
5. ADADELTA: An Adaptive Learning Rate Method
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Improving deep neural networks for LVCSR using rectified linear units and dropout
9. Reinforcement learning with Gaussian processes
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Policy compression for aircraft collision avoidance systems (2016) — 272 citations
• Differential Adaptive Stress Testing of Airborne Collision Avoidance Systems (2018) — 88 citations