2 papers
cs.LG2026
Learning to accelerate distributed ADMM using graph neural networks
Henri Doerks, Paul Häusner, Daniel Hernández Escobar +1
Distributed optimization is fundamental to large-scale machine learning and control applications. Among existing methods, the alternating direction method of multipliers (ADMM) has…
physics.med-ph2025
A parallel algorithm for generating Pareto-optimal radiosurgery treatment plans
Joakim da Silva, Daniel Hernández Escobar, Tor Kjellsson Lindblom +2
Using inverse planning tools to create radiotherapy treatment plans is an iterative process, where clinical trade-offs are explored by changing the relative importance of different…