Oscar Ramirez

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #34,738 of 35,345 by trust here, #14,438 by citations
• Reinforcement Learning — 28 citations into it; #2,208 of 2,242 by trust here, #1,300 by citations

Whom Oscar Ramirez trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. J. Urgen Schmidhuber
4. Sergey Levine
5. Yoshua Bengio
6. Yann LeCun
7. Alex Krizhevsky
8. Richard S. Sutton
9. Kaiming He
10. David R Ha

Who trusts Oscar Ramirez overall

1. Kai Zhu
2. Mohak Bhardwaj
3. J. Sánchez-Ibáñez

Papers from Oscar Ramirez's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
8. Et al
9. Human-level control through deep reinforcement learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning (2017) — 332 citations
• Implicit Behavioral Cloning (2021) — 679 citations