Online Deep Equilibrium Learning for Regularization by Denoising
–Neural Information Processing Systems
We propose ODER as a new strategy for improving the efficiency of DEQ through stochastic approximations of the measurement models. We theoretically analyze ODER giving insights into its ability to approximate the traditional DEQ approach for solving inverse problems.
Neural Information Processing Systems
Nov-15-2025, 15:44:06 GMT
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