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New frontiers for hierarchical Bayesian models in inverse problems
Presenter
- Daniela Calvetti
March 6, 2026
ICERM
Solving and Learning Partial Differential Equations with Q-Exponential Processes
Presenter
- Shiwei Lan
March 6, 2026
ICERM
Optimal experimental design for inverse problems via column subset selection
Presenter
- Arvind Krishna Saibaba
March 6, 2026
ICERM
Bayesian Weight Space Gaussian Process Regression in Practice
Presenter
- Habib Najm
March 5, 2026
ICERM
Memorization and Regularization in Generative Diffusion Models
Presenter
- Ricardo Baptista
March 4, 2026
ICERM
Sparsity Promoting Scale Mixture Priors Fit Large Imaging Datasets
Presenter
- Alexander Strang
March 4, 2026
ICERM
Computationally efficient inference for sparsity-promoting hierarchical Bayesian models
Presenter
- Jan Glaubitz
March 4, 2026
ICERM
Leveraging predictive inverse problems to characterize uncertainties in the presence of model misspecification
Presenter
- Rebekah White
March 3, 2026
ICERM