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Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Diederick Vermetten, Manuel López‐Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
0citations -
MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more
3citations -
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang
2citations -
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