John Kyle Brubaker

According to our database, John Kyle Brubaker authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Explainable Artificial Intelligence Using Expressive Boolean Formulas.

Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber

Mach. Learn. Knowl. Extr., December, 2023

Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set.

Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber

Nat. Mac. Intell., January, 2023

Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems.

Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber

Nat. Mac. Intell., January, 2023

Explainable AI using expressive Boolean formulas.

Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber

CoRR, 2023

2022

Combinatorial optimization with physics-inspired graph neural networks.

Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber

Nat. Mach. Intell., 2022

Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms.

Martin J. A. Schuetz, John Kyle Brubaker, Henry Montagu, Yannick van Dijk, Johannes Klepsch, Philipp Ross, André Luckow, Mauricio G. C. Resende, Helmut G. Katzgraber

CoRR, 2022

Graph Coloring with Physics-Inspired Graph Neural Networks.

Martin J. A. Schuetz, John Kyle Brubaker, Zhihuai Zhu, Helmut G. Katzgraber

CoRR, 2022