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

Conference papers

Complex-Valued Image Recovery from Multiple Measurements.
Dylan Green, Jonathan Lindbloom, and Anne Gelb. 2024 IEEE Conference on Computational Imaging Using Synthetic Apertures (CISA). 2024.

  link

Talks

The Conjugate Gradient Method: A Top 10 Algorithm of the 20th Century.
Dartmouth Mathematics Graduate Student Seminar. Hanover, NH. May 2024.

  Photo

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

Posters

Efficient Gaussian Sampling for Sparsity-Promoting Bayesian Inversion.
NENAD 2024. Hanover, NH. June 2024.

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