1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Warm-starting active-set solvers using graph neural networks
Ella J. Schmidtobreick, Daniel Arnström, Paul Häusner +1
Quadratic programming (QP) solvers are widely used in real-time control and optimization, but their computational cost often limits applicability in time-critical settings. To reso…
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…