HW
Hao Wang
cs.NEquant-phcs.LGcs.AIstat.MLcs.CVAlgorithmscs.CEDeep Brain Stimulationalgorithm comparison
On Valency
published · living versionsW_gyehtsv4·v1 · currentpublished
Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach
with Vasily Bokov, Sebastian Schmitt, Vedran Dunjko
1 version
Preprints & journals
72 papers in the corpus · 2016–2026Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach2609.12891v1 · Vasily Bokov, Sebastian Schmitt, Vedran Dunjko et al.2026 · 0 citationsarXivon Valency
Integer Natural Evolution Strategies2608.23714v1 · Jacob de Nobel, Diederick Vermetten, Hao Wang et al.2026 · 0 citationsarXiv
Generalized Nonlinear Imaginary-Time Evolution2607.09599v1 · Chenyu Shi, Hao Wang, Jin-Fu Chen2026 · 0 citationsarXiv
Comparing Qubit and Qudit Encodings for EV Charging and Trip Assignment Problems2605.10255v1 · Linus Ekstr\om, Hao Wang, Sebastian Schmitt2026 · 0 citationsarXiv
Central Limits via Dilated Categories2603.08266v1 · Henning Basold, Ois'in Flynn-Connolly, Chase Ford et al.2026 · 0 citationsarXiv
Improving Quantum Multi-Objective Optimization with Archiving and Substitution2602.10952v1 · Linus Ekstr\om, Takafumi Hosogi, Xavier Bonet-Monroig et al.2026 · 0 citationsarXiv
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines2602.11042v2 · Kevin Shen, Susanne Pielawa, Vedran Dunjko et al.2026 · 0 citationsarXiv
Efficient Hamiltonian-aware Quantum Natural Gradient Descent for Variational Quantum Eigensolvers2511.14511v1 · Chenyu Shi, Hao Wang2025 · 0 citationsarXiv
Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Multi-Objective Optimisation2511.12545v1 · Robin van der Laag, Hao Wang, Thomas Back et al.2025 · 0 citationsarXiv
Universality and kernel-adaptive training for classically trained, quantum-deployed generative models2510.08476v1 · Andrii Kurkin, Kevin Shen, Susanne Pielawa et al.2025 · 0 citationsarXiv
MMD-Newton Method for Multi-objective Optimization2505.14610v1 · Hao Wang, Chenyu Shi, Angel E. Rodriguez-Fernandez et al.2025 · 0 citationsarXiv
Note on the Universality of Parameterized IQP Circuits with Hidden Units for Generating Probability Distributions2504.05997v1 · Andrii Kurkin, Kevin Shen, Susanne Pielawa et al.2025 · 0 citationsarXiv
Weighted Approximate Quantum Natural Gradient for Variational Quantum Eigensolver2504.04932v2 · Chenyu Shi, Vedran Dunjko, Hao Wang2025 · 1 citation2026 Quantum Sci. Technol. 11 015060
A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generation2503.06485v1 · Jiajie Fan, Amal Trigui, Andrea Bonfanti et al.2025 · 0 citationsarXiv
Abnormal Mutations: Evolution Strategies Don't Require Gaussianity2502.03148v2 · Jacob de Nobel, Diederick Vermetten, Hao Wang et al.2025 · 1 citationarXiv
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations2501.18344v2 · Shuaiqun Pan, Diederick Vermetten, Manuel L'opez-Ib'anez et al.2025 · 3 citationsarXiv
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms2502.12012v3 · Shuaiqun Pan, Yash J. Patel, Aneta Neumann et al.2025 · 1 citationarXiv
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks2501.14012v3 · Shuaiqun Pan, Diederick Vermetten, Manuel L'opez-Ib'anez et al.2025 · 3 citationsarXiv
Variational quantum generative modeling by sampling expectation values of tunable observables.41268184 · Shen, Kevin, Kurkin, Andrii, Pérez-Salinas, Adrián et al.2025 · 0 citationsNPJ quantum information. 2025;11(1):178
NeuroNURBS: Learning Efficient Surface Representations for 3D Solids2411.10848v1 · Jiajie Fan, Babak Gholami, Thomas Back et al.2024 · 4 citationsarXiv
Machine learning-driven discovery of high-performance MEMS disk resonator gyroscope structural topologies.39472551 · Chen, Chen, Zhou, Jinqiu, Wang, Hongyi et al.2024 · 26 citationsMicrosystems & nanoengineering. 2024;10(1):161
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise2409.16757v3 · Catalin-Viorel Dinu, Yash J. Patel, Xavier Bonet-Monroig et al.2024 · 2 citationsarXiv
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics.37486979 · de Nobel, Jacob, Ye, Furong, Vermetten, Diederick et al.2024 · 38 citationsEvolutionary computation. 2024;32(3):205-210
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search2407.20091v1 · Vicente P. Soloviev, Vedran Dunjko, Concha Bielza et al.2024 · 2 citationsarXiv
A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms2405.05721v2 · Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe et al.2024 · 13 citationsarXiv
Hierarchically discriminating Haar-randomness in quantum states from a black-box device2404.16211v4 · Xavier Bonet-Monroig, Hao Wang, Adri'an P'erez-Salinas2024 · 0 citationsXavier Bonet-Monroig et al 2026 New J. Phys. 28 074512
Fréchet Denoised Distance: Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder2403.05352v3 · Jiajie Fan, Amal Trigui, Thomas Back et al.2024 · 1 citationEuropean Conference on Computer Vision (ECCV 2024)
Large-scale Benchmarking of Metaphor-based Optimization Heuristics2402.09800v1 · Diederick Vermetten, Carola Doerr, Hao Wang et al.2024 · 24 citationsarXiv
Variational Quantum Multi-Objective Optimization2312.14151v3 · Linus Ekstrom, Hao Wang, Sebastian Schmitt2023 · 13 citationsPhys. Rev. Research 7, 023141 (2025)
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models2311.11207v1 · Jiajie Fan, Laure Vuaille, Thomas Back et al.2023 · 2 citationsarXiv
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis2307.10166v2 · Jiajie Fan, Laure Vuaille, Hao Wang et al.2023 · 3 citations2024 IEEE Conference on Artificial Intelligence (CAI)
Evolutionary Algorithms for Parameter Optimization-Thirty Years Later.37339005 · Bäck, Thomas H W, Kononova, Anna V, van Stein, Bas et al.2023 · 87 citationsEvolutionary computation. 2023;31(2):81-122
Application of quantum-inspired generative models to small molecular datasets2304.10867v1 · C. Moussa, H. Wang, M. Araya-Polo et al.2023 · 9 citations2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 342-348
Analyzing variational quantum landscapes with information content2303.16893v3 · Adri'an P'erez-Salinas, Hao Wang, Xavier Bonet-Monroig2023 · 12 citationsnpj Quantum Inf 10, 27 (2024)
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features2302.09075v1 · Diederick Vermetten, Hao Wang, Kevin Sim et al.2023 · 5 citationsarXiv
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler2302.01464v1 · Frank Neumann, Aneta Neumann, Chao Qian et al.2023 · 4 citationsarXiv
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity2211.04171v3 · Andr'e H. Deutz, Michael T.M. Emmerich, Hao Wang2022 · 3 citationsarXiv
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization2205.05505v3 · Hao Wang, Kaifeng Yang, Michael Affenzeller2022 · 2 citationsarXiv
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis2204.13753v2 · Kirill Antonov, Elena Raponi, Hao Wang et al.2022 · 18 citationsarXiv
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms2204.09353v2 · Diederick Vermetten, Hao Wang, Manuel L'opez-Ibanez et al.2022 · 8 citationsarXiv
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features2204.09483v2 · Ana Kostovska, Anja Jankovic, Diederick Vermetten et al.2022 · 41 citationsarXiv
Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies2204.06539v2 · Dominik Schroder, Diederick Vermetten, Hao Wang et al.2022 · 3 citationsarXiv
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm2202.09408v2 · Charles Moussa, Hao Wang, Thomas Back et al.2022 · 46 citationsarXiv
Performance comparison of optimization methods on variational quantum algorithms2111.13454v3 · Xavier Bonet-Monroig, Hao Wang, Diederick Vermetten et al.2021 · 113 citationsPhys. Rev. A 107, 032407 (2023)
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance2106.06304v2 · Furong Ye, Carola Doerr, Hao Wang et al.2021 · 22 citationsarXiv
Preoperative Electroencephalography-Based Machine Learning Predicts Cognitive Deterioration After Subthalamic Deep Brain Stimulation.34080712 · Geraedts, Victor J, Koch, Milan, Kuiper, Roy et al.2021 · 23 citationsMovement disorders : official journal of the Movement Disorder Society. 2021;36(10):2324-2334
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution2105.06757v1 · Rick Boks, Anna V. Kononova, Hao Wang2021 · 13 citationsarXiv
Is there Anisotropy in Structural Bias?2105.04480v1 · Diederick Vermetten, Anna V. Kononova, Fabio Caraffini et al.2021 · 8 citationsarXiv
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis2105.03687v2 · Yangjie Mei, Hao Wang2021 · 0 citationsarXiv
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants2104.08098v1 · Jacob de Nobel, Hao Wang, Thomas Back2021 · 7 citationsarXiv
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