Manfred Diaz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 15 citations into it
• Control and Systems Engineering — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Manfred Diaz trusts overall

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

1. Diederik P. Kingma
2. Richard S. Sutton
3. Brian D. Ziebart
4. Geoffrey E. Hinton
5. E. Todorov
6. Qiang Liu
7. Jimmy Ba
8. Sergey Levine
9. Andrew Barto
10. Volodymyr Mnih

Papers from Manfred Diaz's perspective

Ordered by how strongly the researchers Manfred Diaz 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Asynchronous Methods for Deep Reinforcement Learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Active Domain Randomization (2019) — 338 citations