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ORCIDHelmut G. Katzgraber
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2020 – today
- 2023
[j7]Gili Rosenberg, John Kyle Brubaker
, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber:
Explainable Artificial Intelligence Using Expressive Boolean Formulas. Mach. Learn. Knowl. Extr. 5(4): 1760-1795 (2023)- [j6]Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems. Nat. Mac. Intell. 5(1): 26-28 (2023) - [j5]Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set. Nat. Mac. Intell. 5(1): 32-34 (2023) - [i18]Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set. CoRR abs/2302.03602 (2023) - [i17]Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems. CoRR abs/2303.12096 (2023) - [i16]Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber:
Explainable AI using expressive Boolean formulas. CoRR abs/2306.03976 (2023) - [i15]Thomas Häner, Damian S. Steiger, Helmut G. Katzgraber:
Parallel Tempering for Logic Synthesis. CoRR abs/2311.12394 (2023) - 2022
- [j4]Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Combinatorial optimization with physics-inspired graph neural networks. Nat. Mach. Intell. 4(4): 367-377 (2022) - [i14]Martin J. A. Schuetz, John Kyle Brubaker, Zhihuai Zhu, Helmut G. Katzgraber:
Graph Coloring with Physics-Inspired Graph Neural Networks. CoRR abs/2202.01606 (2022) - [i13]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:
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms. CoRR abs/2206.03651 (2022) - 2021
- [j3]Elisabetta Valiante, Maritza Hernandez, Amin Barzegar, Helmut G. Katzgraber:
Computational overhead of locality reduction in binary optimization problems. Comput. Phys. Commun. 269: 108102 (2021) - [i12]Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Combinatorial Optimization with Physics-Inspired Graph Neural Networks. CoRR abs/2107.01188 (2021) - 2020
- [j2]Chao Fang, Amin Barzeger, Helmut G. Katzgraber:
Machine learning in physics: the pitfalls of poisoned training sets. Mach. Learn. Sci. Technol. 1(4): 45001 (2020) - [j1]Zheng Zhu, Chao Fang, Helmut G. Katzgraber:
borealis - A generalized global update algorithm for Boolean optimization problems. Optim. Lett. 14(8): 2495-2514 (2020) - [i11]Dilina Perera, Inimfon Akpabio, Firas Hamze, Salvatore Mandrà, Nathan Rose, Maliheh Aramon, Helmut G. Katzgraber:
Chook - A comprehensive suite for generating binary optimization problems with planted solutions. CoRR abs/2005.14344 (2020)
2010 – 2019
- 2019
- [i10]Nicolas Pradignac, Maliheh Aramon, Helmut G. Katzgraber:
A feasibility pump algorithm embedded in an annealing framework. CoRR abs/1906.06434 (2019) - 2018
- [i9]Chao Fang, Zheng Zhu, Helmut G. Katzgraber:
NAE-SAT-based probabilistic membership filters. CoRR abs/1801.06232 (2018) - [i8]Maliheh Aramon, Gili Rosenberg, Toshiyuki Miyazawa, Hirotaka Tamura, Helmut G. Katzgraber:
Physics-inspired optimization for constraint-satisfaction problems using a digital annealer. CoRR abs/1806.08815 (2018) - 2017
- [i7]Hamed Karimi, Gili Rosenberg, Helmut G. Katzgraber:
Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods. CoRR abs/1706.07826 (2017) - [i6]Amin Barzegar, Christopher Pattison, Wenlong Wang, Helmut G. Katzgraber:
Optimization of population annealing Monte Carlo for large-scale spin-glass simulations. CoRR abs/1710.09025 (2017) - 2016
- [c4]Roberto Santana, Zheng Zhu, Helmut G. Katzgraber:
Evolutionary Approaches to Optimization Problems in Chimera Topologies. GECCO 2016: 397-404 - [i5]Zheng Zhu, Chao Fang, Helmut G. Katzgraber:
borealis - A generalized global update algorithm for Boolean optimization problems. CoRR abs/1605.09399 (2016) - [i4]Roberto Santana, Zheng Zhu, Helmut G. Katzgraber:
Evolutionary Approaches to Optimization Problems in Chimera Topologies. CoRR abs/1608.05105 (2016) - 2014
- [c3]Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber:
A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids. SEAL 2014: 13-24 - [i3]Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber:
A probabilistic evolutionary optimization approach to compute quasiparticle braids. CoRR abs/1410.0602 (2014) - 2012
- [i2]Ross B. McDonald, Helmut G. Katzgraber:
Genetic braid optimization: A heuristic approach to compute quasiparticle braids. CoRR abs/1211.7359 (2012) - 2010
- [i1]Helmut G. Katzgraber:
Random Numbers in Scientific Computing: An Introduction. CoRR abs/1005.4117 (2010)
2000 – 2009
- 2009
- [c2]Martin Pelikan, Helmut G. Katzgraber:
Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. GECCO 2009: 843-850 - 2008
- [c1]Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe:
Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. GECCO 2008: 447-454
Coauthor Index
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