i-DEQ adds momentum to DEQ fixed-point iterations, yielding convergence guarantees, training stability, and halved inference time while matching state-of-the-art reconstruction quality on inverse problems.
MoDL: Model-based deep learning architecture for inverse problems.IEEE transactions on Medical Imaging, 38(2):394–405
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
i-DEQ: A stable inertial deep equilibrium model for image restoration
i-DEQ adds momentum to DEQ fixed-point iterations, yielding convergence guarantees, training stability, and halved inference time while matching state-of-the-art reconstruction quality on inverse problems.