Helmut G. Katzgraber

According to our database, Helmut G. Katzgraber authored at least 25 papers between 2008 and 2024.

Collaborative distances:

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

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

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 F. de Arruda, Ricardo M. A. Silva

CoRR, 2024

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

Parallel Tempering for Logic Synthesis.

Thomas Häner, Damian S. Steiger, Helmut G. Katzgraber

CoRR, 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

2021

Computational overhead of locality reduction in binary optimization problems.

Elisabetta Valiante, Maritza Hernandez, Amin Barzegar, Helmut G. Katzgraber

Comput. Phys. Commun., 2021

2020

borealis - A generalized global update algorithm for Boolean optimization problems.

Zheng Zhu, Chao Fang, Helmut G. Katzgraber

Optim. Lett., 2020

Machine learning in physics: the pitfalls of poisoned training sets.

Chao Fang, Amin Barzeger, Helmut G. Katzgraber

Mach. Learn. Sci. Technol., 2020

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

2019

A feasibility pump algorithm embedded in an annealing framework.

Nicolas Pradignac, Maliheh Aramon, Helmut G. Katzgraber

CoRR, 2019

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

NAE-SAT-based probabilistic membership filters.

Chao Fang, Zheng Zhu, Helmut G. Katzgraber

CoRR, 2018

2017

Optimization of population annealing Monte Carlo for large-scale spin-glass simulations.

Amin Barzegar, Christopher Pattison, Wenlong Wang, Helmut G. Katzgraber

CoRR, 2017

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

2016

Evolutionary Approaches to Optimization Problems in Chimera Topologies.

Roberto Santana, Zheng Zhu, Helmut G. Katzgraber

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2014

A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids.

Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

2012

Genetic braid optimization: A heuristic approach to compute quasiparticle braids.

Ross B. McDonald, Helmut G. Katzgraber

CoRR, 2012

2010

Random Numbers in Scientific Computing: An Introduction

Helmut G. Katzgraber

CoRR, 2010

2009

Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions.

Martin Pelikan, Helmut G. Katzgraber

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms.

Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe

Proceedings of the Genetic and Evolutionary Computation Conference, 2008