Research
Preprints
Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances.Jonathan Lindbloom, Jan Glaubitz, and Anne Gelb. 2024. arXiv
Complex-valued signal recovery using the Bayesian LASSO.
Dylan Green, Jonathan Lindbloom, and Anne Gelb. 2024. arXiv
Talks
Generalized Sparsity-Promoting Solvers and Uncertainty Quantification for Bayesian Inverse Problems.Fondazione CMCC Webinar. Bologna, IT. March 2024. Slides Video
Generalized Sparsity-Promoting Solvers and Samplers for Hierarchical Inverse Problems.
SIAM Conference on Uncertainty Quantification. Trieste, IT. February 2024. Slides
A Brief Introduction to Matrix-Free and Randomized Matrix Computations.
Dartmouth Mathematics Graduate Student Seminar. Hanover, NH. January 2024.
Oblique Projections and Low-Rank Structure in Inverse Problems.
Dartmouth Mathematics Graduate Student Seminar. Hanover, NH. September 2023. Slides
Computational Strategies for Bayesian Inversion with Conditionally Gaussian Sparsity Priors.
SIAM Conference on Computational Science and Engineering. Amsterdam, NL. March 2023. Slides
Hierarchical Bayesian Inverse Problems.
Dartmouth Mathematics Graduate Student Seminar. Hanover, NH. January 2023. Slides
Generalized Hybrid Solvers for Sparsity-Promoting Bayesian Inverse Problems.
Dartmouth Advancement Examination. Hanover, NH. November 2022. Slides
Generalized Hybrid Solvers for Large-Scale Edge-Preserving Inversion.
Dartmouth Sea Ice Modeling and Data Assimilation MURI Annual Meeting. Virtual. November 2022. Slides Video
Surrogate Modeling for High Explosives Diameter Effect Calculations.
Theoretical Division Lightning Talk Symposium. Los Alamos, NM. August 2022.
Multiplicative Denoising with Uncertainty Quantification for Synthetic Aperture Radar Imaging.
SIAM Conference on Uncertainty Quantification. Atlanta, GA. April 2022. Slides
Towards UQ for SAR Despeckling.
Dartmouth Sea Ice Modeling and Data Assimilation MURI Annual Meeting. Virtual. October 2021. Slides Video
Uncertainty Quantification in High Explosives Equations of State.
LANL Computational Physics Summer Workshop Final Presentations. Virtual. August 2021. Slides
Academic and Student Success Within a Residential Commons Model.
Residential College Symposium. Virtual. October 2020.
Copresenters: Dustin Grabsch and Jennifer Post. Video
Posters
Sparsity-Promoting Multiplicative Denoising via Block Coordinate Descent.SIAM POD-UQ. Trieste, IT. February 2024. Poster
Technical Articles
A Bayesian model of records.Jaime Sevilla and Jonathan Lindbloom. Authorea. May 2022. Link
Modelling a Time Series of Records with PyMC3.
Jaime Sevilla and Jonathan Lindbloom. Authorea. September 2021. Link