Interpretable and flexible non-intrusive reduced-order models using reproducing kernel Hilbert spaces
Fuente:
arXiv
Saved in:
| Main Authors: | Diaz, Alejandro N, McQuarrie, Shane A, Tencer, John T, Blonigan, Patrick J |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
by: McQuarrie, Shane A, et al.
Published: (2021)
by: McQuarrie, Shane A, et al.
Published: (2021)
Probability error bounds for approximation of functions in reproducing kernel Hilbert spaces
by: Aydin, Ata Deniz, et al.
Published: (2020)
by: Aydin, Ata Deniz, et al.
Published: (2020)
Computational inverse scattering with internal sources: a reproducing kernel Hilbert space approach
by: Dong, Yakun, et al.
Published: (2024)
by: Dong, Yakun, et al.
Published: (2024)
Scattered Data Histopolation in Averaging Kernel Hilbert Spaces
by: Bruno, Ludovico Bruni, et al.
Published: (2026)
by: Bruno, Ludovico Bruni, et al.
Published: (2026)
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
by: McQuarrie, Shane A., et al.
Published: (2024)
by: McQuarrie, Shane A., et al.
Published: (2024)
Asymptotic and pre-asymptotic convergence of sparse grids for anisotropic kernel interpolation
by: Addy, Elliot J., et al.
Published: (2026)
by: Addy, Elliot J., et al.
Published: (2026)
Sectional Kolmogorov N-widths for parameter-dependent function spaces: A general framework with application to parametrized Friedrichs' systems
by: Engwer, Christian, et al.
Published: (2025)
by: Engwer, Christian, et al.
Published: (2025)
Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
by: Bourdais, Théo, et al.
Published: (2024)
by: Bourdais, Théo, et al.
Published: (2024)
Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces
by: Diaz, Alejandro N., et al.
Published: (2025)
by: Diaz, Alejandro N., et al.
Published: (2025)
L^1 data fitting for Inverse Problems yields optimal rates of convergence in case of discretized white Gaussian noise
by: Bätz, Kristina, et al.
Published: (2025)
by: Bätz, Kristina, et al.
Published: (2025)
Efficient Risk Estimation for the Credit Valuation Adjustment
by: Giles, Michael B., et al.
Published: (2023)
by: Giles, Michael B., et al.
Published: (2023)
Nonparametric learning of stochastic differential equations from sparse and noisy data
by: Ganguly, Arnab, et al.
Published: (2025)
by: Ganguly, Arnab, et al.
Published: (2025)
Towards optimal sensor placement for inverse problems in spaces of measures
by: Huynh, Phuoc-Truong, et al.
Published: (2023)
by: Huynh, Phuoc-Truong, et al.
Published: (2023)
Joint Estimation of Conditional Mean and Covariance for Unbalanced Panels
by: Filipovic, Damir, et al.
Published: (2024)
by: Filipovic, Damir, et al.
Published: (2024)
A greedy non-intrusive reduced order model for shallow water equations
by: Dutta, Sourav, et al.
Published: (2020)
by: Dutta, Sourav, et al.
Published: (2020)
Recovery of the optimal control value function in reproducing kernel Hilbert spaces from verification conditions
by: Ehring, Tobias, et al.
Published: (2025)
by: Ehring, Tobias, et al.
Published: (2025)
Weak convergence analysis in the particle limit of the McKean--Vlasov equations using stochastic flows of particle systems
by: Haji-Ali, Abdul-Lateef, et al.
Published: (2021)
by: Haji-Ali, Abdul-Lateef, et al.
Published: (2021)
Amortized Energy-Based Bayesian Inference
by: Kaveh, Hojjat, et al.
Published: (2026)
by: Kaveh, Hojjat, et al.
Published: (2026)
Empirical Risk Minimization as Parameter Choice Rule for General Linear Regularization Methods
by: Li, Housen, et al.
Published: (2017)
by: Li, Housen, et al.
Published: (2017)
Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities
by: Bayer, Christian, et al.
Published: (2020)
by: Bayer, Christian, et al.
Published: (2020)
Error Bounds for Importance Sampling with Estimated Proposal Distributions
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
Ensemble Variational Fokker-Planck Methods for Data Assimilation
by: Subrahmanya, Amit N, et al.
Published: (2021)
by: Subrahmanya, Amit N, et al.
Published: (2021)
Adaptive Nonparametric Estimation via Kernel Transport on Group Orbits: Oracle Inequalities and Minimax Rates
by: Nembe, Jocelyn
Published: (2025)
by: Nembe, Jocelyn
Published: (2025)
Spectral Equivariance and Geometric Transport in Reproducing Kernel Hilbert Spaces: A Unified Framework for Orthogonal Polynomial and Kernel Estimation
by: Nembé, Jocelyn
Published: (2025)
by: Nembé, Jocelyn
Published: (2025)
A multilevel sketch-and-solve method for overdetermined least squares problems
by: Haas, Irina-Beatrice, et al.
Published: (2026)
by: Haas, Irina-Beatrice, et al.
Published: (2026)
A filtered multilevel Monte Carlo method for estimating the expectation of cell-centered discretized random fields
by: Briant, Jérémy, et al.
Published: (2023)
by: Briant, Jérémy, et al.
Published: (2023)
A Convergence Theorem for the Parareal Algorithm Revisited
by: Scheiber, Ernest
Published: (2024)
by: Scheiber, Ernest
Published: (2024)
Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
by: Klebanov, Ilja, et al.
Published: (2026)
by: Klebanov, Ilja, et al.
Published: (2026)
High-order numerical method for solving elliptic partial differential equations on unfitted node sets
by: Nielsen, Morten E., et al.
Published: (2024)
by: Nielsen, Morten E., et al.
Published: (2024)
Escaping the native space of Sobolev kernels by interpolation
by: Ehring, Tobias, et al.
Published: (2025)
by: Ehring, Tobias, et al.
Published: (2025)
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies
by: Glatt-Holtz, Nathan E., et al.
Published: (2022)
by: Glatt-Holtz, Nathan E., et al.
Published: (2022)
Spectral representations of interpolation spaces of reproducing kernel Hilbert spaces
by: Bitzer, Michael, et al.
Published: (2025)
by: Bitzer, Michael, et al.
Published: (2025)
A Wiener Chaos Approach to Martingale Modelling and Implied Volatility Calibration
by: Diaz-Lozano, Pere, et al.
Published: (2026)
by: Diaz-Lozano, Pere, et al.
Published: (2026)
Error bounds for some approximate posterior measures in Bayesian inference
by: Lie, Han Cheng, et al.
Published: (2019)
by: Lie, Han Cheng, et al.
Published: (2019)
A divergence-free projection method for quasiperiodic photonic crystals in three dimensions
by: Gao, Zixuan, et al.
Published: (2024)
by: Gao, Zixuan, et al.
Published: (2024)
Hypertrees and their host trees: a survey
by: Di Fonzo, Pablo De Caria
Published: (2025)
by: Di Fonzo, Pablo De Caria
Published: (2025)
Numerical approximations for a hyperbolic integrodifferential equation with a non-positive variable-sign kernel and nonlinear-nonlocal damping
by: Qiu, Wenlin, et al.
Published: (2024)
by: Qiu, Wenlin, et al.
Published: (2024)
Towards a Multigrid Preconditioner Interpretation of Hierarchical Poincaré-Steklov Solvers
by: Lorca, J. P. Lucero
Published: (2025)
by: Lorca, J. P. Lucero
Published: (2025)
An inverse random diffraction grating problem for the Helmholtz equation
by: Sun, Zhiqi, et al.
Published: (2025)
by: Sun, Zhiqi, et al.
Published: (2025)
Computing Inverses of Stieltjes Transforms of Probability Measures
by: Chen, James, et al.
Published: (2024)
by: Chen, James, et al.
Published: (2024)
Similar Items
-
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
by: McQuarrie, Shane A, et al.
Published: (2021) -
Probability error bounds for approximation of functions in reproducing kernel Hilbert spaces
by: Aydin, Ata Deniz, et al.
Published: (2020) -
Computational inverse scattering with internal sources: a reproducing kernel Hilbert space approach
by: Dong, Yakun, et al.
Published: (2024) -
Scattered Data Histopolation in Averaging Kernel Hilbert Spaces
by: Bruno, Ludovico Bruni, et al.
Published: (2026) -
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
by: McQuarrie, Shane A., et al.
Published: (2024)