Brian Hou

Artificial Intelligence · 2016–2020

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 — 19 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Brian Hou trusts overall

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

1. Daniel Russo
2. Michael L. Littman
3. Sertac Karaman
4. Ian Osband
5. Benjamin Van Roy
6. Thomas Jaksch
7. Arthur Guez
8. Ahmed Hussain Qureshi
9. Richard S. Sutton
10. Mohammad Ghavamzadeh

Who trusts Brian Hou overall

1. Jeffrey Mahler

Papers from Brian Hou's perspective

Ordered by how strongly the researchers Brian Hou 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Reinforcement Learning: An Introduction
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards (2016) — 391 citations
• Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges (2020) — 14 citations