Jack Kuipers

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #7,589 of 35,345 by trust here, #19,873 by citations
• Probabilistic & Bayesian Methods — 27 citations into it; #538 of 1,525 by trust here, #945 by citations
• Statistics and Probability — 18 citations into it; #4,859 of 12,932 by trust here, #6,853 by citations
• Molecular Biology — 16 citations into it
• Causal Inference & Discovery — 11 citations into it
• Cancer Research — 10 citations into it

Whom Jack Kuipers trusts overall

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

1. Nir Friedman
2. Dan Geiger
3. David E. Heckerman
4. Markus Kalisch
5. Marco Scutari
6. David Madigan
7. Diego Colombo
8. David Maxwell Chickering
9. Daphne Koller
10. Peter Buhlmann

Who trusts Jack Kuipers overall

1. Jussi Viinikka
2. Tristan Deleu
3. Yashas Annadani
4. Antti Hyttinen
5. Giusi Moffa
6. Ricardo M. A. Silva
7. Polina Suter
8. Jonas Rothfuss
9. Gonçalo Faria
10. Johan Pensar

Papers from Jack Kuipers's perspective

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

1. Equivalence and Synthesis of Causal Models
2. Optimal Structure Identification With Greedy Search
3. Learning Equivalence Classes of Bayesian Network Structures
4. Causality : Models , Reasoning , and Inference
5. Approximating discrete probability distributions with dependence trees
6. Learning Bayesian networks: The combination of knowledge and statistical data
7. Bayesian Graphical Models for Discrete Data
8. Causation, Prediction, and Search
9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
10. The max-min hill-climbing Bayesian network structure learning algorithm

Their papers

• Partition MCMC for Inference on Acyclic Digraphs (2015) — 110 citations
• Addendum on the scoring of Gaussian directed acyclic graphical models (2014) — 84 citations
• Efficient Sampling and Structure Learning of Bayesian Networks (2018) — 86 citations
• Tree inference for single-cell data (2016) — 301 citations