J. Kyle Brubaker
Amazon (United States)(US)
Publications by Year
Research Areas
Quantum Computing Algorithms and Architecture, Advanced Graph Neural Networks, Explainable Artificial Intelligence (XAI), Quantum Information and Cryptography, Metaheuristic Optimization Algorithms Research
Most-Cited Works
- → Combinatorial optimization with physics-inspired graph neural networks(2022)178 cited
- → Graph coloring with physics-inspired graph neural networks(2022)33 cited
- → Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms(2022)26 cited
- → Designing quantum annealing schedules using Bayesian optimization(2024)26 cited
- → Explainable Artificial Intelligence Using Expressive Boolean Formulas(2023)15 cited
- → A Random-Key optimizer for combinatorial optimization(2025)2 cited
- → BoolXAI: Explainable AI Using Expressive Boolean Formulas(2025)2 cited
- → Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set(2022)2 cited
- → Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking(2025)1 cited