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Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti
0citations -
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Vicente P. Soloviev, Vedran Dunjko, Concha Bielza, Pedro Larrañaga, Hao Wang
0citations -
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more
1citations -
Bayesian calibration, process modeling and uncertainty quantification in biotechnology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges
4citations -
End-to-end resource analysis for quantum interior point methods and portfolio optimization2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Alexander M. Dalzell, B. D. Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A. Bader, +5 more
3citations