Patryk Orzechowski

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Patryk Orzechowski 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
5. David Ruppert
6. Tianqi Chen
7. S. Udrescu
8. Brenden K. Petersen
9. Trevor J. Hastie

Who trusts Patryk Orzechowski overall

1. Nour Makke
2. Alexey Ignatiev

Papers from Patryk Orzechowski's perspective

Ordered by how strongly the researchers Patryk Orzechowski 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Random Forests
6. Genetic Programming: On the Programming of Computers by Means of Natural Selection
7. ImageNet classification with deep convolutional neural networks
8. Greedy function approximation: A gradient boosting machine.
9. XGBoost: A Scalable Tree Boosting System
10. Distilling Free-Form Natural Laws from Experimental Data

Their papers

• PMLB: a large benchmark suite for machine learning evaluation and comparison (2017) — 459 citations
• Contemporary Symbolic Regression Methods and their Relative Performance (2021) — 418 citations