Alejandro Escontrela

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Reinforcement Learning — 31 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Alejandro Escontrela trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Jimmy Ba
4. Richard S. Sutton
5. Geoffrey E. Hinton
6. Timothy P. Lillicrap
7. Sergey Levine
8. Danijar Hafner
9. Danilo Jimenez Rezende
10. Alex Krizhevsky

Papers from Alejandro Escontrela's perspective

Ordered by how strongly the researchers Alejandro Escontrela 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Human-level control through deep reinforcement learning

Their papers

• DayDreamer: World Models for Physical Robot Learning (2022) — 533 citations