Pages that link to "Item:Q2128063"
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The following pages link to Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion (Q2128063):
Displaying 9 items.
- Deep composition of tensor-trains using squared inverse Rosenblatt transports (Q2098237) (← links)
- Approximation and sampling of multivariate probability distributions in the tensor train decomposition (Q2302512) (← links)
- Sampling-free Bayesian inversion with adaptive hierarchical tensor representations (Q4634763) (← links)
- Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format (Q5052901) (← links)
- Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs (Q6039259) (← links)
- An <i>hp</i>‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use (Q6082501) (← links)
- Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction (Q6158090) (← links)
- Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events (Q6189161) (← links)
- Approximation in the extended functional tensor train format (Q6587236) (← links)
