Alexander Asteroth

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 5 citations into it

Whom Alexander Asteroth trusts overall

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

1. Kenneth O. Stanley
2. Joel Lehman
3. Yaochu Jin
4. Pawel Wawrzynski
5. Kaspar Riesen
6. Tapani Raiko
7. Risto Miikkulainen
8. Alexander I. J. Forrester
9. Eric Brochu
10. Antoine Cully

Papers from Alexander Asteroth's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Reinforcement Learning: An Introduction
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Data-efficient neuroevolution with kernel-based surrogate models (2018) — 20 citations