Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. - Martin Pelikan; Helmut G. Katzgraber; Sigismund Kobe (GECCO, 2008)

Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. - Martin Pelikan; Helmut G. Katzgraber (GECCO, 2009)

Random Numbers in Scientific Computing: An Introduction - Helmut G. Katzgraber (CoRR, 2010)

Genetic braid optimization: A heuristic approach to compute quasiparticle braids. - Ross B. McDonald; Helmut G. Katzgraber (CoRR, 2012)

A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids. - Roberto Santana 001; Ross B. McDonald; Helmut G. Katzgraber (SEAL, 2014)

Evolutionary Approaches to Optimization Problems in Chimera Topologies. - Roberto Santana 001; Zheng Zhu; Helmut G. Katzgraber (GECCO, 2016)

Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods. - Hamed Karimi; Gili Rosenberg; Helmut G. Katzgraber (CoRR, 2017)

Optimization of population annealing Monte Carlo for large-scale spin-glass simulations. - Amin Barzegar; Christopher Pattison; Wenlong Wang; Helmut G. Katzgraber (CoRR, 2017)

NAE-SAT-based probabilistic membership filters. - Chao Fang; Zheng Zhu; Helmut G. Katzgraber (CoRR, 2018)

Physics-inspired optimization for constraint-satisfaction problems using a digital annealer. - Maliheh Aramon; Gili Rosenberg; Toshiyuki Miyazawa; Hirotaka Tamura; Helmut G. Katzgraber (CoRR, 2018)

A feasibility pump algorithm embedded in an annealing framework. - Nicolas Pradignac; Maliheh Aramon; Helmut G. Katzgraber (CoRR, 2019)

Chook - A comprehensive suite for generating binary optimization problems with planted solutions. - Dilina Perera; Inimfon Akpabio; Firas Hamze; Salvatore Mandrà; Nathan Rose; Maliheh Aramon; Helmut G. Katzgraber (CoRR, 2020)

Machine learning in physics: the pitfalls of poisoned training sets. - Chao Fang; Amin Barzeger; Helmut G. Katzgraber (Mach. Learn. Sci. Technol., 2020)

borealis - A generalized global update algorithm for Boolean optimization problems. - Zheng Zhu; Chao Fang; Helmut G. Katzgraber (Optim. Lett., 2020)

Computational overhead of locality reduction in binary optimization problems. - Elisabetta Valiante; Maritza Hernandez; Amin Barzegar; Helmut G. Katzgraber (Comput. Phys. Commun., 2021)

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)

Parallel Tempering for Logic Synthesis. - Thomas Häner; Damian S. Steiger; 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)