16 citations · 18 across the 2 of their papers we have counts for
2 papers
physics.optics2024★ 2 cited
Data-driven model reconstruction for nonlinear wave dynamics
Ekaterina Smolina, Lev Smirnov, Daniel Leykam +2
The use of machine learning to predict wave dynamics is a topic of growing interest, but commonly-used deep learning approaches suffer from a lack of interpretability of the traine…
eess.IV2024★ 16 cited
Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image Reconstruction
Carlos Osorio Quero, Daniel Leykam, Irving Rondon Ojeda
Conventional deep learning-based image reconstruction methods require a large amount of training data which can be hard to obtain in practice. Untrained deep learning methods overc…