publications
preprints, journal articles, book chapters, and conference articles in reversed chronological order, generated by jekyll-scholar.
preprints
2020
- arxivDeep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports2020
- halData-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems2020
2019
- arxivStein variational online changepoint detection with applications to Hawkes processes and neural networks2019
- arxivMultilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems2019
2018
- arxivCertified dimension reduction in nonlinear Bayesian inverse problems2018
journal articles
2020
- IPSemivariogram methods for modeling Whittle–Matérn priors in Bayesian inverse problemsInverse Problems 2020
- SISCScalable optimization-based sampling on function spaceSIAM Journal on Scientific Computing 2020
- JUQOptimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse ProblemsarXiv preprint arXiv:2002.06358 2020
- A non-linear reverse-engineering method for inferring genetic regulatory networksPeerJ 2020
- Randomized reduced forward models for efficient Metropolis–Hastings MCMC, with application to subsurface fluid flow and capacitance tomographyGEM-International Journal on Geomathematics 2020
2019
- IJNMEA posteriori stochastic correction of reduced models in delayed-acceptance MCMC, with application to multiphase subsurface inverse problemsInternational Journal for Numerical Methods in Engineering 2019
- IJUQUsing Parallel Markov Chain Monte Carlo to Quantify Uncertainties in Geothermal Reservoir CalibrationInternational Journal for Uncertainty Quantification 2019
- J. Struct. Geol.Extraction of high-resolution structural orientations from digital data: A Bayesian approachJournal of Structural Geology 2019
2018
- J. Struct. BiolRapid near-atomic resolution single-particle 3D reconstruction with SIMPLEJournal of structural biology 2018
2017
- SISCGoal-oriented optimal approximations of Bayesian linear inverse problemsSIAM Journal on Scientific Computing 2017
- SISCBayesian inverse problems with l_1 priors: a randomize-then-optimize approachSIAM Journal on Scientific Computing 2017
2016
- JCPDimension-independent likelihood-informed MCMCJournal of Computational Physics 2016
- Pragmatic approach to calibrating distributed parameter groundwater models from pumping test data using adaptive delayed acceptance MCMCJournal of Hydrologic Engineering 2016
- IPOn dimension reduction in Gaussian filtersInverse Problems 2016
- JCPScalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reductionJournal of Computational Physics 2016
- CMAMEMultifidelity importance samplingComputer Methods in Applied Mechanics and Engineering 2016
2015
- SISCOptimal low-rank approximations of Bayesian linear inverse problemsSIAM Journal on Scientific Computing 2015
- IJNMEData-driven model reduction for the Bayesian solution of inverse problemsInternational Journal for Numerical Methods in Engineering 2015
2014
- Characterization of parameters for a spatially heterogenous aquifer from pumping test dataJournal of Hydrologic Engineering 2014
- IPLikelihood-informed dimension reduction for nonlinear inverse problemsInverse Problems 2014
2013
- Uncertainty quantification for stream depletion testsJournal of Hydrologic Engineering 2013
2011
- WRRBayesian calibration of a large-scale geothermal reservoir model by a new adaptive delayed acceptance Metropolis Hastings algorithmWater Resources Research 2011
book chapters
2019
- Optimization methods for inverse problems2019
- A Metropolis-Hastings-Within-Gibbs Sampler for Nonlinear Hierarchical-Bayesian Inverse Problems2019
conference articles
2018
- NIPSA Stein variational Newton methodIn Advances in Neural Information Processing Systems 2018
- Mathematical modelling of genetic network for regulating the fate determination of hematopoietic stem cellsIn 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2018
- MCQMCNetwork Structure Change Point Detection by Posterior Predictive DiscrepancyIn International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing 2018