AI RESEARCH
Neural Network Pruning via QUBO Optimization
arXiv CS.AI
•
ArXi:2604.05856v1 Announce Type: cross Neural network pruning can be formulated as a combinatorial optimization problem, yet most existing approaches rely on greedy heuristics that ignore complex interactions between filters. Formal optimization methods such as Quadratic Unconstrained Binary Optimization (QUBO) provide a principled alternative but have so far underperformed due to oversimplified objective formulations based on metrics like the L1-norm.