A hybrid QUBO pruning framework using Taylor/Fisher metrics and activation similarity outperforms greedy Taylor and L1-QUBO baselines on the SIDD denoising dataset, with further gains from Tensor-Train refinement.
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Neural Network Pruning via QUBO Optimization
A hybrid QUBO pruning framework using Taylor/Fisher metrics and activation similarity outperforms greedy Taylor and L1-QUBO baselines on the SIDD denoising dataset, with further gains from Tensor-Train refinement.