The following pages link to Active Subspaces (Q2942150):
Displaying 50 items.
- Mathematical analysis and dynamic active subspaces for a long term model of HIV (Q504667) (← links)
- Gradient free active subspace construction using Morris screening elementary effects (Q521467) (← links)
- Geometric MCMC for infinite-dimensional inverse problems (Q1685436) (← links)
- How to choose biomarkers in view of parameter estimation (Q1711958) (← links)
- Importance sampling: intrinsic dimension and computational cost (Q1750255) (← links)
- A generalized active subspace for dimension reduction in mixed aleatory-epistemic uncertainty quantification (Q2020260) (← links)
- Embedded ridge approximations (Q2020990) (← links)
- Active-subspace analysis of exceedance probability for shallow-water waves (Q2060951) (← links)
- Low-dimensional offshore wave input for extreme event quantification (Q2060969) (← links)
- Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media (Q2065846) (← links)
- Quantifying the uncertainty and global sensitivity of quantum computations on experimental hardware (Q2102787) (← links)
- NMPC in active subspaces: dimensionality reduction with recursive feasibility guarantees (Q2103689) (← links)
- Robust and resource-efficient identification of two hidden layer neural networks (Q2117339) (← links)
- Forward and backward uncertainty quantification with active subspaces: application to hypersonic flows around a cylinder (Q2122694) (← links)
- Clustered active-subspace based local Gaussian process emulator for high-dimensional and complex computer models (Q2134712) (← links)
- Artificial neural network based response surface for data-driven dimensional analysis (Q2137947) (← links)
- A one-bit, comparison-based gradient estimator (Q2155805) (← links)
- Generalized bounds for active subspaces (Q2180052) (← links)
- A distributed active subspace method for scalable surrogate modeling of function valued outputs (Q2211746) (← links)
- Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov chain Monte Carlo (Q2221416) (← links)
- A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models (Q2236908) (← links)
- Exploring the sensitivity in jellyfish locomotion under variations in scale, frequency, and duty cycle (Q2244905) (← links)
- Accelerated basis adaptation in homogeneous chaos spaces (Q2246311) (← links)
- Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian processes (Q2246340) (← links)
- \texttt{emgr} -- the empirical Gramian framework (Q2287472) (← links)
- Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments (Q2302488) (← links)
- Kolmogorov \(n\)-widths for linear dynamical systems (Q2305530) (← links)
- A near-stationary subspace for ridge approximation (Q2310068) (← links)
- Compressive Hermite interpolation: sparse, high-dimensional approximation from gradient-augmented measurements (Q2311914) (← links)
- Gauss-Christoffel quadrature for inverse regression: applications to computer experiments (Q2329776) (← links)
- Calibration of a SEIR-SEI epidemic model to describe the zika virus outbreak in Brazil (Q2335754) (← links)
- Efficient parameter estimation for a methane hydrate model with active subspaces (Q2418684) (← links)
- A modified SEIR model for the spread of Ebola in western Africa and metrics for resource allocation (Q2423147) (← links)
- A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems (Q2672767) (← links)
- Projection pursuit adaptation on polynomial chaos expansions (Q2683425) (← links)
- Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings (Q2687068) (← links)
- Accelerating Markov chain Monte Carlo with active subspaces (Q2818262) (← links)
- Bayesian inverse regression for supervised dimension reduction with small datasets (Q3389641) (← links)
- Bayesian model calibration and uncertainty quantification for an HIV model using adaptive Metropolis algorithms (Q4563450) (← links)
- Posterior consistency for Gaussian process approximations of Bayesian posterior distributions (Q4600705) (← links)
- Modified Active Subspaces Using the Average of Gradients (Q4611538) (← links)
- A Moment-Matching Method to Study the Variability of Phenomena Described by Partial Differential Equations (Q4641601) (← links)
- Using automatic differentiation for compressive sensing in uncertainty quantification (Q4685570) (← links)
- Dimension Reduction via Gaussian Ridge Functions (Q4960976) (← links)
- On the unsteady Darcy–Forchheimer–Brinkman equation in local and nonlocal tumor growth models (Q4973296) (← links)
- Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification (Q4995116) (← links)
- A Lipschitz Matrix for Parameter Reduction in Computational Science (Q4997385) (← links)
- A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems (Q5005000) (← links)
- Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation (Q5010082) (← links)
- Exploring active subspace for neural network prediction of oscillating combustion (Q5030781) (← links)
