Papers matching “high-dimensional parameters” 36
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A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications2025 Computer Physics Communications article Mathematics Markov Chains and Monte Carlo Methods Open access
Joshua G. Albert, Csaba Balázs, Andrew Fowlie, Will J. Handley, N. T. Hunt-Smith, Roberto Ruiz de Austri, +1 more
11citations -
Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling2021 CPT Pharmacometrics & Systems Pharmacology article Mathematics Mathematical Biology Tumor Growth Open access
Laura B. Zwep, Kevin L. W. Duisters, Tingjie Guo, Jacqueline J. Meulman, Parth J. Upadhyay, J. G. Coen van Hasselt
5citations -
High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling2026 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Basita Das, William Heymann, Yueming Wang, Uwe Rau, Thomas Kirchartz, Tonio Buonassisi
0citations -
Probabilistic Power Flow of AC/DC Hybrid Grids With Addressing Boundary Issue of Correlated Uncertainty Sources2022 IEEE Transactions on Sustainable Energy article Engineering Optimal Power Flow Distribution cited by 1 patent
Sui Peng, Xingyu Lin, Junjie Tang, Kaigui Xie, Ferdinanda Ponci, Antonello Monti, +1 more
16citations -
A novel genetic algorithm-based calibration framework for crystal plasticity parameters in DP780 steels using multiscale mechanical testing2025 Computational Materials Science article Engineering Microstructure and Mechanical Properties of Steels Open access
Linghao Kong, Manuel Henrich, Sophie Stebner, Sebastian Münstermann
7citations -
A Comprehensive Workflow for Applying Single-Cell Clustering and Pseudotime Analysis to Flow Cytometry Data2020 The Journal of Immunology article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Janine E. Melsen, Monique M. van Ostaijen-ten Dam, Arjan C. Lankester, Marco W. Schilham, Erik B. van den Akker
56citations -
Automated importance sampling via optimal control for stochastic reaction networks: A Markovian projection–based approach2024 Journal of Computational and Applied Mathematics article Economics, Econometrics and Finance Stochastic processes and financial applications Open access
Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert
2citations -
CosmicNet II: emulating extended cosmologies with efficient and accurate neural networks2022 Journal of Cosmology and Astroparticle Physics article Physics and Astronomy Cosmology and Gravitation Theories Open access
Sven Günther, Julien Lesgourgues, Georgios Samaras, Nils Schöneberg, Florian Stadtmann, Christian Fidler, +1 more
34citations -
Discriminative versus generative approaches to simulation-based inference2025 Machine Learning Science and Technology article Physics and Astronomy Particle physics theoretical and experimental studies Open access
Benjamin Sluijter, Sascha Diefenbacher, W. Bhimji, Benjamin Philip Nachman
3citations -
Explainable Artificial Intelligence for Mechanics: Physics-Explaining Neural Networks for Constitutive Models2022 Frontiers in Materials article Physics and Astronomy Model Reduction and Neural Networks Open access
Arnd Koeppe, Franz Bamer, Michael A. Selzer, Britta Nestler, Bernd A. Markert
41citations -
Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks2024 Structural Safety article Decision Sciences Probabilistic and Robust Engineering Design Open access
Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd A. Markert, Michael D. Shields
24citations