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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 -
Objectifying Machine Setup and Parameter Selection in Expert Knowledge Dependent Industries Using Invertible Neural Networks2022 Lecture notes in mechanical engineering conference-paper Computer Science Neural Networks and Applications Open access
Kai Müller, Andrés Felipe Posada-Moreno, Lukas Pelzer, Thomas Gries
1citations -
MapXchange: Designing a Confidentiality-Preserving Platform for Exchanging Technology Parameter Maps2025 ACM/SIGAPP Symposium on Applied Computing (SAC) conference-paper Computer Science Cryptography and Data Security Open access
Jan Pennekamp, Joseph Leisten, Markus Dahlmanns, Marcel Fey, Christian Brecher, Sandra Geisler
1citations -
Multi-objective design optimization of bioresorbable braided stents2023 Computer Methods and Programs in Biomedicine article Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Dario Carbonaro, Agnese Lucchetti, Alberto Luigi Audenino, Thomas Gries, Ted J. Vaughan, Claudio Chiastra
30citations -
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics2022 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
61citations