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Parallel Unbalanced Optimal Transport Regularization for Large Scale Imaging Problems
The modeling of phenomenological structure is a crucial aspect in inverse imaging problems.
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer
Tracking algorithms such as the Kalman filter aim to improve inference performance by leveraging the temporal dynamics in streaming observations.
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