Bogdan Burlacu

Artificial Intelligence · 2021

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 — 22 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Bogdan Burlacu trusts overall

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

1. Ronald J. Williams
2. Michael D. Schmidt
3. Cynthia Rudin
4. Jaka Demsar

Papers from Bogdan Burlacu's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Scikit-learn: Machine Learning in Python
4. Genetic Programming: On the Programming of Computers by Means of Natural Selection
5. Greedy function approximation: A gradient boosting machine.
6. XGBoost: A Scalable Tree Boosting System
7. Random Forests
8. Distilling Free-Form Natural Laws from Experimental Data
9. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
10. Grammar Variational Autoencoder

Their papers

• Contemporary Symbolic Regression Methods and their Relative Performance (2021) — 418 citations