Alexander Whatley

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Alexander Whatley trusts overall

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

1. Diederik P. Kingma
2. Frances H. Arnold
3. Reuven Y. Rubinstein
4. Peter I. Frazier

Papers from Alexander Whatley's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Human-level control through deep reinforcement learning
5. Proximal Policy Optimization Algorithms (arXiv.org)
6. Attention is All you Need (Neural Information Processing Systems)
7. Wasserstein GAN
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Scikit-learn: Machine Learning in Python
10. Gradient-based learning applied to document recognition

Their papers

• AdaLead: A simple and robust adaptive greedy search algorithm for sequence design (2020) — 113 citations