# 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