Inverse problems: A Bayesian perspective

• Inferring Parameters in a Complex Land Surface Model by Combining Data Assimilation and Machine Learning

  2025 Journal of Advances in Modeling Earth Systems article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access

  7

  citations
• Mini-Workshop: High-Dimensional Control Problems and Mean-Field Equations with Applications in Machine Learning

  2025 Oberwolfach Reports article Economics, Econometrics and Finance Stochastic processes and financial applications Open access

  0

  citations
• Instrumentation and uncertainty evaluation for absolute characterization of thin films and nanostructured surfaces in advanced optical metrology

  2025 Metrologia article Decision Sciences Scientific Measurement and Uncertainty Evaluation Open access

  5

  citations
• Combining 3‐D Probabilistic Kinematic Modeling With Thermal Resetting Measurements: An Approach to Reduce Uncertainty in Exhumation Histories

  2025 Geochemistry Geophysics Geosystems article Earth and Planetary Sciences Geological and Geochemical Analysis Open access

  1

  citations
• Subscale inversion of X-ray emission in electron probe microanalysis based on deterministic transport equations

  2025 IOP Conference Series Materials Science and Engineering conference-paper Materials Science Electron and X-Ray Spectroscopy Techniques Open access

  1

  citations
• Combining low-temperature thermochronology with 3-D probabilistic kinematic modeling of the Bavarian Subalpine Molasse

  2024 preprint Earth and Planetary Sciences Geological and Geochemical Analysis Open access

  0

  citations
• An Adjoint Method for High-Resolution EPMA Based on the Spherical Harmonics (PN) Model of Electron Transport

  2024 Journal of Computational and Theoretical Transport article Materials Science Electron and X-Ray Spectroscopy Techniques Open access

  2

  citations
• A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models

  2023 Journal of Computational Physics article Decision Sciences Optimal Experimental Design Methods Open access

  7

  citations
• Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format

  2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access

  20

  citations
• Generalized parallel tempering on Bayesian inverse problems

  2021 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

  12

  citations
• Bayesian inversion for electromyography using low-rank tensor formats

  2021 Inverse Problems article Mathematics Numerical methods in inverse problems Open access

  3

  citations
• A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology

  2020 Mathematical Biosciences article Medicine Mathematical and Theoretical Epidemiology and Ecology Models Open access

  30

  citations
• A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems

  2020 Lecture notes in computational science and engineering book-chapter Decision Sciences Optimal Experimental Design Methods Open access

  5

  citations
• Bayesian linear inverse problems in regularity scales

  2020 Annales de l Institut Henri Poincaré Probabilités et Statistiques article Mathematics Numerical methods in inverse problems Open access

  10

  citations
• Iterative algorithms for the post-processing of high-dimensional data

  2020 Journal of Computational Physics article Mathematics Tensor decomposition and applications

  12

  citations

15 results