2 papers
stat.ML2021
Deep learning for inverse problems with unknown operator
Miguel del Alamo
We consider ill-posed inverse problems where the forward operator is unknown, and instead we have access to training data consisting of functions and their noisy images $…
math.ST2018
Frame-constrained Total Variation Regularization for White Noise Regression
Miguel del Álamo, Housen Li, Axel Munk
Despite the popularity and practical success of total variation (TV) regularization for function estimation, surprisingly little is known about its theoretical performance in a sta…