Graph Coloring with Physics-Inspired Graph Neural Networks. - Martin J. A. Schuetz; John Kyle Brubaker; Zhihuai Zhu; Helmut G. Katzgraber (CoRR, 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)

Combinatorial optimization with physics-inspired graph neural networks. - Martin J. A. Schuetz; John Kyle Brubaker; Helmut G. Katzgraber (Nat. Mach. Intell., 2022)

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)

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., 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., 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., 2023)

A Random-Key Optimizer for Combinatorial Optimization. - Antonio A. Chaves; Mauricio G. C. Resende; Martin J. A. Schuetz; John Kyle Brubaker; Helmut G. Katzgraber; Edilson Fernandes de Arruda; Ricardo M. A. Silva (CoRR, 2024)

Scalable iterative pruning of large language and vision models using block coordinate descent. - Gili Rosenberg; John Kyle Brubaker; Martin J. A. Schuetz; Elton Yechao Zhu; Serdar Kadioglu; Sima E. Borujeni; Helmut G. Katzgraber (CoRR, 2024)

BoolXAI: Explainable AI Using Expressive Boolean Formulas. - Serdar Kadioglu; Elton Yechao Zhu; Gili Rosenberg; John Kyle Brubaker; Martin J. A. Schuetz; Grant Salton; Zhihuai Zhu; Helmut G. Katzgraber (AAAI, 2025)

Optimization of Next-Day Delivery Coverage using Constraint Programming and Random Key Optimizers. - John Kyle Brubaker; Kyle E. C. Booth; Martin J. A. Schuetz; Philipp Loick; Jian Shen; Arun Ramamurthy; Georgios Paschos (CoRR, 2025)