John Kyle Brubaker

16 papers A* 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Applying a Random-Key Optimizer on Mixed Integer Programs. CoRR Antonio Augusto Chaves, Mauricio G. C. Resende, Carise E. Schmidt, John Kyle Brubaker, Helmut G. Katzgraber
2025	J	`jnl`	A Random-Key optimizer for combinatorial optimization. J. Heuristics Antonio Augusto Chaves, Mauricio G. C. Resende, Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber, Edilson Fernandes de Arruda, Ricardo M. A. Silva
2025	A*	`conf`	BoolXAI: Explainable AI Using Expressive Boolean Formulas. AAAI Serdar Kadioglu, Elton Yechao Zhu, Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Helmut G. Katzgraber
2025	J	`jnl`	Optimization of Next-Day Delivery Coverage using Constraint Programming and Random Key Optimizers. CoRR John Kyle Brubaker, Kyle E. C. Booth, Martin J. A. Schuetz, Philipp Loick, Jian Shen, Arun Ramamurthy, Georgios Paschos
2024	J	`jnl`	A Random-Key Optimizer for Combinatorial Optimization. CoRR Antonio Augusto Chaves, Mauricio G. C. Resende, Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber, Edilson Fernandes de Arruda, Ricardo M. A. Silva
2024	J	`jnl`	Scalable iterative pruning of large language and vision models using block coordinate descent. CoRR Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber
2023	J	`jnl`	Explainable AI using expressive Boolean formulas. CoRR Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber
2023	J	`jnl`	Explainable Artificial Intelligence Using Expressive Boolean Formulas. Mach. Learn. Knowl. Extr. Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber
2023	J	`jnl`	Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems. CoRR Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber
2023	J	`jnl`	Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems. Nat. Mac. Intell. Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber
2023	J	`jnl`	Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set. CoRR Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber
2023	J	`jnl`	Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set. Nat. Mac. Intell. Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber
2022	J	`jnl`	Combinatorial optimization with physics-inspired graph neural networks. Nat. Mach. Intell. Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber
2022	J	`jnl`	Graph Coloring with Physics-Inspired Graph Neural Networks. CoRR Martin J. A. Schuetz, John Kyle Brubaker, Zhihuai Zhu, Helmut G. Katzgraber
2022	J	`jnl`	Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms. CoRR 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
2021	J	`jnl`	Combinatorial Optimization with Physics-Inspired Graph Neural Networks. CoRR Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber