Michael O'Connell

Artificial Intelligence · with Shi · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Aerospace Engineering — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Michael O'Connell trusts overall

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

1. Pieter Abbeel
2. Chelsea Finn
3. Daniel Mellinger
4. Ali Rahimi
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Sergey Levine
8. Ignasi Clavera
9. Richard M. Murray
10. Diederik P. Kingma

Papers from Michael O'Connell's perspective

Ordered by how strongly the researchers Michael O'Connell 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Neural-Fly enables rapid learning for agile flight in strong winds (2022) — 320 citations
• Neural Lander: Stable Drone Landing Control Using Learned Dynamics (2018) — 350 citations