Knowledge-guided generative surrogate modeling for high-dimensional design optimization under scarce data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Bingran, Jeong, Seongha, van Schie, Sebastiaan P. C., Han, Dongyeon, Min, Jaeho, Hwang, John T. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Weighted Proper Orthogonal Decomposition for High-Dimensional Optimization
by: van Schie, Sebastiaan P. C., et al.
Published: (2025)
by: van Schie, Sebastiaan P. C., et al.
Published: (2025)
Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach
by: Wang, Bingran, et al.
Published: (2024)
by: Wang, Bingran, et al.
Published: (2024)
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
by: Gu, Hyemin, et al.
Published: (2022)
by: Gu, Hyemin, et al.
Published: (2022)
Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method
by: Wang, Bingran, et al.
Published: (2024)
by: Wang, Bingran, et al.
Published: (2024)
Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation
by: Carrara, Davide, et al.
Published: (2026)
by: Carrara, Davide, et al.
Published: (2026)
Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations
by: Wang, Bingran, et al.
Published: (2023)
by: Wang, Bingran, et al.
Published: (2023)
Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification
by: Wang, Bingran, et al.
Published: (2024)
by: Wang, Bingran, et al.
Published: (2024)
Modeling and forecasting of European Carbon Emission Allowance futures by ARIMA-TX-GARCH models with correlation threshold
by: Lee, Jaeho, et al.
Published: (2025)
by: Lee, Jaeho, et al.
Published: (2025)
Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment
by: Hwang, Uiwon, et al.
Published: (2026)
by: Hwang, Uiwon, et al.
Published: (2026)
Valuation Separation for Coprime Lucas Products
by: Kym, Dongyeon
Published: (2026)
by: Kym, Dongyeon
Published: (2026)
Power Products in Elliptic Divisibility Sequences and Prime-Incidence Obstructions
by: Kym, Dongyeon
Published: (2026)
by: Kym, Dongyeon
Published: (2026)
A gradient-enhanced univariate dimension reduction method for uncertainty propagation
by: Wang, Bingran, et al.
Published: (2024)
by: Wang, Bingran, et al.
Published: (2024)
VehicleSDF: A 3D generative model for constrained engineering design via surrogate modeling
by: Morita, Hayata, et al.
Published: (2024)
by: Morita, Hayata, et al.
Published: (2024)
A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation
by: Xian, Jianhua, et al.
Published: (2023)
by: Xian, Jianhua, et al.
Published: (2023)
Towards robust prediction of material properties for nuclear reactor design under scarce data -- a study in creep rupture property
by: Chen, Yu, et al.
Published: (2024)
by: Chen, Yu, et al.
Published: (2024)
Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis
by: Kim, Yeonsu, et al.
Published: (2025)
by: Kim, Yeonsu, et al.
Published: (2025)
A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing
by: Wang, Bingran, et al.
Published: (2025)
by: Wang, Bingran, et al.
Published: (2025)
From shadows to sunlight: Rethinking Intraprofessional collaboration beyond the cave
by: Rosalin van Schie, et al.
Published: (2025)
by: Rosalin van Schie, et al.
Published: (2025)
Drivers of sustainability reporting by local governments over time: A structured literature review
by: André Mol, et al.
Published: (2024)
by: André Mol, et al.
Published: (2024)
Delayed Zinc Phosphide Toxicosis in a Dog
by: Saskia van Schie, et al.
Published: (2025)
by: Saskia van Schie, et al.
Published: (2025)
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
by: Mayfrank, Daniel, et al.
Published: (2024)
by: Mayfrank, Daniel, et al.
Published: (2024)
Accelerating integrated modeling with surrogate-based optimization: the MAESTRO workflow
by: Rodriguez-Fernandez, P., et al.
Published: (2026)
by: Rodriguez-Fernandez, P., et al.
Published: (2026)
Sequential design for surrogate modeling in Bayesian inverse problems
by: Lartaud, Paul, et al.
Published: (2024)
by: Lartaud, Paul, et al.
Published: (2024)
A novel data generation scheme for surrogate modelling with deep operator networks
by: Choubey, Shivam, et al.
Published: (2024)
by: Choubey, Shivam, et al.
Published: (2024)
Integral Bayesian symbolic regression for optimal discovery of governing equations from scarce and noisy data
by: Cabanas-Tirapu, Oriol, et al.
Published: (2025)
by: Cabanas-Tirapu, Oriol, et al.
Published: (2025)
Criteria for Blow‐Up Phenomena for Solutions to Nonlinear Reaction–Diffusion Equations on Cones
by: Soon‐Yeong Chung, et al.
Published: (2025)
by: Soon‐Yeong Chung, et al.
Published: (2025)
Reinforcement-guided generative protein language models enable de novo design of highly diverse AAV capsids
by: Ferraz, Lucas, et al.
Published: (2026)
by: Ferraz, Lucas, et al.
Published: (2026)
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification
by: Kim, Jungho, et al.
Published: (2024)
by: Kim, Jungho, et al.
Published: (2024)
Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
by: Loukrezis, Dimitrios, et al.
Published: (2023)
by: Loukrezis, Dimitrios, et al.
Published: (2023)
Analysis of extremum seeking control for wind turbine torque controller optimization by aerodynamic and generator power objectives
by: Mulders, Sebastiaan P., et al.
Published: (2024)
by: Mulders, Sebastiaan P., et al.
Published: (2024)
Variational Bayesian surrogate modelling with application to robust design optimisation
by: Archbold, Thomas A., et al.
Published: (2024)
by: Archbold, Thomas A., et al.
Published: (2024)
Component Associations of the Healthy Worker Survivor Bias in Medical Radiation Workers
by: Won Jin Lee, et al.
Published: (2025)
by: Won Jin Lee, et al.
Published: (2025)
An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling
by: Mang, Chetra, et al.
Published: (2025)
by: Mang, Chetra, et al.
Published: (2025)
Strict contactomorphisms are scarce
by: Oh, Yong-Geun, et al.
Published: (2025)
by: Oh, Yong-Geun, et al.
Published: (2025)
High-resolution weather-guided surrogate modeling for data-efficient cross-location building energy prediction
by: Manmatharasan, Piragash, et al.
Published: (2026)
by: Manmatharasan, Piragash, et al.
Published: (2026)
A generative machine learning surrogate model of plasma turbulence
by: Clavier, B., et al.
Published: (2024)
by: Clavier, B., et al.
Published: (2024)
Distributed Edge Computing Task Allocation with Network Effects
by: Abrahamson, Henry, et al.
Published: (2026)
by: Abrahamson, Henry, et al.
Published: (2026)
Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
by: Fung, Lloyd, et al.
Published: (2024)
by: Fung, Lloyd, et al.
Published: (2024)
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data
by: Zhou, Mingyuan, et al.
Published: (2024)
by: Zhou, Mingyuan, et al.
Published: (2024)
Inverse design of drying-induced assembly of multicomponent colloidal-particle films using surrogate models
by: Kundu, Mayukh, et al.
Published: (2025)
by: Kundu, Mayukh, et al.
Published: (2025)
Similar Items
-
Weighted Proper Orthogonal Decomposition for High-Dimensional Optimization
by: van Schie, Sebastiaan P. C., et al.
Published: (2025) -
Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach
by: Wang, Bingran, et al.
Published: (2024) -
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
by: Gu, Hyemin, et al.
Published: (2022) -
Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method
by: Wang, Bingran, et al.
Published: (2024) -
Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation
by: Carrara, Davide, et al.
Published: (2026)