Options
Wrobel, Stefan
Adiabatic Quantum Computing for Max-Sum Diversification
Leveraging Domain Knowledge for Reinforcement Learning using MMC Architectures
Adiabatic quantum computing for kernel k = 2 means clustering
Max-Sum Dispersion via Quantum Annealing
Ising models for binary clustering via adiabatic quantum computing
Informed machine learning through functional composition
A QUBO Formulation of the k-Medoids Problem
Policy learning using SPSA