Author in the following contributions
- Recycling and Streaming for Large Scale Nonlinear Inverse Problems
- A Scalable Sequential Framework for Dynamic Inverse Problems via Model Parameter Estimation
- Randomized Sketching for Tucker Tensors: From Compressed Summation to GMRES
- A Provably Convergent MM-GKS Variant for Large-Scale Image Reconstruction Problems
- Time-varying Bayesian Inverse Problems with Sparse Priors and Randomization
- Multigrid-Accelerated Sparsity-Promoting Projection Methods for Inverse Problems