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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 -
Smaller generalization error derived for a deep residual neural network compared with shallow networks2022 IMA Journal of Numerical Analysis article Computer Science Stochastic Gradient Optimization Techniques Open access
Aku Kammonen, Jonas Kiessling, Petr Plecháč, Mattias Sandberg, Anders Szepessy, Raul F. Tempone
4citations -
Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Diederick Vermetten, Hao Wang, Manuel López‐Ibáñez, Carola Doerr, Thomas Bäck
7citations -
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Diederick Vermetten, Hao Wang, Manuel López‐Ibáñez, Carola Doerr, Thomas Bäck
1citations -
Mixed-Precision GPU Acceleration of RTE-RRTMGP-CPP: Towards Radiative Transfer Simulations on Exascale Supercomputers2026 Procedia Computer Science conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Stijn Heldens, Alessio Sclocco, Gijs van den Oord, Ben van Werkhoven, Chiel van Heerwaarden, Erwan Raffin, +1 more
0citations -
Curriculum reinforcement learning for quantum architecture search under hardware errors2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
7citations -
Optimizing Parametrized Information Bottleneck Compression Mappings with Genetic Algorithms2020 International Conference on Signal Processing and Communication Systems conference-paper Computer Science Advanced Data Compression Techniques
Jan Lewandowsky, Sumedh Dongare, Marc Adrat, Matthias Schrammen, Peter Jax
3citations