| Publication | Date of Publication | Type |
|---|
| Bayesian model calibration for block copolymer self-assembly: likelihood-free inference and expected information gain computation via measure transport | 2024-04-17 | Paper |
| Distribution learning via neural differential equations: a nonparametric statistical perspective | 2023-09-02 | Paper |
| Computing f‐divergences and distances of high‐dimensional probability density functions | 2023-08-17 | Paper |
| An Approximation Theory Framework for Measure-Transport Sampling Algorithms | 2023-02-27 | Paper |
| Nonlinear dimension reduction for surrogate modeling using gradient information | 2023-02-20 | Paper |
| Infinite-Dimensional Diffusion Models | 2023-02-20 | Paper |
| Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers | 2023-02-14 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5053276 | 2022-12-06 | Paper |
| GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN | 2022-11-04 | Paper |
| Coupling Techniques for Nonlinear Ensemble Filtering | 2022-11-03 | Paper |
| Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics | 2022-10-07 | Paper |
| On minimax density estimation via measure transport | 2022-07-20 | Paper |
| Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective | 2022-07-18 | Paper |
| Certified dimension reduction in nonlinear Bayesian inverse problems | 2022-06-15 | Paper |
| Sparse approximation of triangular transports. I: The finite-dimensional case | 2022-06-08 | Paper |
| Sparse approximation of triangular transports. II: The infinite-dimensional case | 2022-06-08 | Paper |
| Distributionally Robust Gaussian Process Regression and Bayesian Inverse Problems | 2022-05-25 | Paper |
| A Koopman framework for rare event simulation in stochastic differential equations | 2022-05-05 | Paper |
| Low-rank multi-parametric covariance identification | 2022-03-14 | Paper |
| Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations | 2021-11-13 | Paper |
| Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator | 2021-10-07 | Paper |
| Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation | 2021-08-24 | Paper |
| Sparse approximation of triangular transports. Part II: the infinite dimensional case | 2021-07-28 | Paper |
| Geodesically Parameterized Covariance Estimation | 2021-04-28 | Paper |
| A Koopman framework for rare event simulation in stochastic differential equations | 2021-01-18 | Paper |
| Localization for MCMC: sampling high-dimensional posterior distributions with local structure | 2020-12-09 | Paper |
| Data-driven forward discretizations for Bayesian inversion | 2020-10-07 | Paper |
| Stochastic spectral methods for efficient Bayesian solution of inverse problems | 2020-08-26 | Paper |
| MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure | 2020-07-30 | Paper |
| Sparse approximation of triangular transports. Part I: the finite dimensional case | 2020-06-12 | Paper |
| Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design | 2020-06-03 | Paper |
| Scalable Optimization-Based Sampling on Function Space | 2020-05-29 | Paper |
| Multifidelity Dimension Reduction via Active Subspaces | 2020-04-28 | Paper |
| A continuous analogue of the tensor-train decomposition | 2020-04-16 | Paper |
| Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions | 2020-03-20 | Paper |
| A transport-based multifidelity preconditioner for Markov chain Monte Carlo | 2020-03-11 | Paper |
| Multifidelity importance sampling | 2019-05-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4614105 | 2019-01-30 | Paper |
| A transport-based multifidelity preconditioner for Markov chain Monte Carlo | 2018-08-28 | Paper |
| A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database | 2018-08-21 | Paper |
| Transport Map Accelerated Markov Chain Monte Carlo | 2018-07-19 | Paper |
| Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals | 2018-07-19 | Paper |
| An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems | 2018-07-06 | Paper |
| Bayesian Inverse Problems with $l_1$ Priors: A Randomize-Then-Optimize Approach | 2017-10-27 | Paper |
| Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems | 2017-10-27 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5268658 | 2017-06-20 | Paper |
| A trust-region method for derivative-free nonlinear constrained stochastic optimization | 2017-03-12 | Paper |
| Data-driven model reduction for the Bayesian solution of inverse problems | 2016-12-30 | Paper |
| A new network approach to Bayesian inference in partial differential equations | 2016-12-30 | Paper |
| A Multiscale Strategy for Bayesian Inference Using Transport Maps | 2016-12-21 | Paper |
| Dimension-independent likelihood-informed MCMC | 2016-12-05 | Paper |
| Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction | 2016-12-05 | Paper |
| Spectral Tensor-Train Decomposition | 2016-09-07 | Paper |
| Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation | 2016-07-22 | Paper |
| On dimension reduction in Gaussian filters | 2016-05-13 | Paper |
| An introduction to sampling via measure transport | 2016-02-16 | Paper |
| Efficient Localization of Discontinuities in Complex Computational Simulations | 2015-03-02 | Paper |
| Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems | 2014-09-05 | Paper |
| Sequential data assimilation with multiple models | 2014-04-23 | Paper |
| Adaptive Smolyak Pseudospectral Approximations | 2014-03-28 | Paper |
| NOWPAC: A provably convergent derivative-free nonlinear optimizer with path-augmented constraints | 2014-03-07 | Paper |
| Bayesian inverse problems with Monte Carlo forward models | 2013-06-12 | Paper |
| Computational singular perturbation with non-parametric tabulation of slow manifolds for time integration of stiff chemical kinetics | 2013-04-19 | Paper |
| Bayesian inference with optimal maps | 2012-12-20 | Paper |
| Contributions of the wall boundary layer to the formation of the counter-rotating vortex pair in transverse jets | 2012-06-15 | Paper |
| Data-free inference of the joint distribution of uncertain model parameters | 2012-05-18 | Paper |
| Convergence Characteristics and Computational Cost of Two Algebraic Kernels in Vortex Methods with a Tree-Code Algorithm | 2010-08-16 | Paper |
| Uncertainty quantification in chemical systems | 2009-12-07 | Paper |
| Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems | 2009-04-03 | Paper |
| Stochastic spectral methods for efficient Bayesian solution of inverse problems | 2007-06-14 | Paper |
| Vorticity structure and evolution in a transverse jet | 2007-04-19 | Paper |
| \(K\)-means clustering for optimal partitioning and dynamic load balancing of parallel hierarchical \(N\)-body simulations | 2005-06-27 | Paper |
