Elina Locane

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 Elina Locane trusts overall

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

1. Diederik P. Kingma

Papers from Elina Locane's perspective

Ordered by how strongly the researchers Elina Locane 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. Wasserstein GAN
6. Proximal Policy Optimization Algorithms (arXiv.org)
7. Scikit-learn: Machine Learning in Python
8. Improving catalytic function by ProSAR-driven enzyme evolution
9. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
10. Evaluating Protein Transfer Learning with TAPE

Their papers

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