Papers matching “machine learning for optimization” 55
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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 -
Reinforcement learning for optimization of variational quantum circuit architectures2021 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
50citations -
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
0citations -
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
1citations -
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access
Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar
4citations -
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich
1citations