From the 1 of 4 linked papers with an AI index.
4 papers
High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
Loong Kuan Lee, Ragavi Krishnamoorthy, Nico Piatkowski
The paper introduces a k-order relaxation of the faithfulness assumption to handle parity-type dependencies and presents the k-order Markov blanket (kOMB) algorithm for discovering…
Standardization of Multi-Objective QUBOs
Loong Kuan Lee, Thore Gerlach, Nico Piatkowski
Multi-objective optimization involving Quadratic Unconstrained Binary Optimization (QUBO) problems arises in various domains. A fundamental challenge in this context is the effecti…
Multi-Objective Quantum Power System Redispatch
Loong Kuan Lee, Johannes Knaute, Florian Gerhardt +4
The rising energy production costs and the increasing reliance on volatile renewable sources have driven the need for more efficient power system redispatch strategies. In this wor…
Hot-Starting Quantum Portfolio Optimization
Sebastian Schlütter, Tomislav Maras, Alexander Dotterweich +1
Combinatorial optimization with a smooth and convex objective function arises naturally in applications such as discrete mean-variance portfolio optimization, where assets must be…