2 papers
cs.LG2024
Scalable iterative pruning of large language and vision models using block coordinate descent
Gili Rosenberg, J. Kyle Brubaker, Martin J. A. Schuetz +4
Pruning neural networks, which involves removing a fraction of their weights, can often maintain high accuracy while significantly reducing model complexity, at least up to a certa…
math.OC2024
Solving QUBOs with a quantum-amenable branch and bound method
Thomas Häner, Kyle E. C. Booth, Sima E. Borujeni +1
Due to the expected disparity in quantum vs. classical clock speeds, quantum advantage for branch and bound algorithms is more likely achievable in settings involving large search…