6 citations · 6 across the 2 of their papers we have counts for
2 papers
quant-ph2025
A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics
Cesar A. Amaral, Vinícius L. Oliveira, Juan P. L. C. Salazar +1
Computational Fluid Dynamics (CFD) is central to science and engineering, but faces severe scalability challenges, especially in high-dimensional, multiscale, and turbulent regimes…
math.OC2023★ 6 cited
Optimizing over trained GNNs via symmetry breaking
Shiqiang Zhang, Juan S. Campos, Christian Feldmann +5
Optimization over trained machine learning models has applications including: verification, minimizing neural acquisition functions, and integrating a trained surrogate into a larg…