Deep learning for inverse problems with unknown operator

no code implementations • 5 Aug 2021 • Miguel del Alamo

We consider ill-posed inverse problems where the forward operator $T$ is unknown, and instead we have access to training data consisting of functions $f_i$ and their noisy images $Tf_i$.

Variational multiscale nonparametric regression: Algorithms

2 code implementations • 20 Oct 2020 • Miguel del Alamo, Housen Li, Axel Munk, Frank Werner

Many modern statistically efficient methods come with tremendous computational challenges, often leading to large scale optimization problems.

Computation Optimization and Control 62G05, 68U10