Horacio Emilio Pérez Sánchez

Artificial Intelligence · 2016–2018

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 — 22 citations into it
• Computational Theory and Mathematics — 22 citations into it
• Organic Chemistry — 6 citations into it

Whom Horacio Emilio Pérez Sánchez trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Volodymyr Mnih
4. W. L. Jorgensen
5. Yuxi Li
6. Yann LeCun
7. Richard S. Sutton
8. Ilya Sutskever
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Papers from Horacio Emilio Pérez Sánchez's perspective

Ordered by how strongly the researchers Horacio Emilio Pérez Sánchez 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Human-level control through deep reinforcement learning
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Virtual Screening: A Challenge for Deep Learning (2016) — 13 citations
• Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach (2018) — 8 citations