Christian F. Perez

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Reinforcement Learning — 16 citations into it
• Control and Systems Engineering — 6 citations into it
• Meta & Continual Learning — 6 citations into it

Whom Christian F. Perez trusts overall

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

1. Diederik P. Kingma
2. Sergey Levine
3. Chelsea Finn
4. Pieter Abbeel
5. Richard Bellman
6. E. Todorov
7. Geoffrey E. Hinton
8. J. Urgen Schmidhuber
9. Richard S. Sutton
10. Ignasi Clavera

Papers from Christian F. Perez's perspective

Ordered by how strongly the researchers Christian F. Perez 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials (2020) — 40 citations