30 citations · 35 across the 3 of their papers we have counts for
3 papers
Parallel Unbalanced Optimal Transport Regularization for Large Scale Imaging Problems
John Lee, Nicholas P. Bertrand, Christopher J. Rozell
The modeling of phenomenological structure is a crucial aspect in inverse imaging problems. One emerging modeling tool in computational imaging is the optimal transport framework.…
Hierarchical Optimal Transport for Multimodal Distribution Alignment
John Lee, Max Dabagia, Eva L. Dyer +1
In many machine learning applications, it is necessary to meaningfully aggregate, through alignment, different but related datasets. Optimal transport (OT)-based approaches pose al…
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer
Nicholas P. Bertrand, Adam S. Charles, John Lee +2
Tracking algorithms such as the Kalman filter aim to improve inference performance by leveraging the temporal dynamics in streaming observations. However, the tracking regularizers…