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20222026
most citedAuto-Calibration and Biconvex Compressive Sensing with Applications to Parallel MRI

2 citations · 6 across the 16 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

stat.ML2024

WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity

Shizhou Xu, Thomas Strohmer

We investigate methods for partitioning datasets into subgroups that maximize diversity within each subgroup while minimizing dissimilarity across subgroups. We introduce a novel p…

cs.CR2024

Differentially Private Synthetic High-dimensional Tabular Stream

Girish Kumar, Thomas Strohmer, Roman Vershynin

While differentially private synthetic data generation has been explored extensively in the literature, how to update this data in the future if the underlying private data changes…

quant-ph2024

Quantum paving: When sphere packings meet Gabor frames

Markus Faulhuber, Thomas Strohmer

We introduce the new problems of quantum packing, quantum covering, and quantum paving. These problems arise naturally when considering an algebra of non-commutative operators that…

math.NA2024

Convergence Analysis of the Alternating Anderson-Picard Method for Nonlinear Fixed-point Problems

Xue Feng, M. Paul Laiu, Thomas Strohmer

Anderson Acceleration (AA) has been widely used to solve nonlinear fixed-point problems due to its rapid convergence. This work focuses on a variant of AA in which multiple Picard…

math.OC2024★ 1 cited

Improving Autoencoder Image Interpolation via Dynamic Optimal Transport

Xue Feng, Thomas Strohmer

Autoencoders are important generative models that, among others, have the ability to interpolate image sequences. However, interpolated images are usually not semantically meaningf…

math.ST2024★ 1 cited

On the (In)Compatibility between Group Fairness and Individual Fairness

Shizhou Xu, Thomas Strohmer

We study the compatibility between the optimal statistical parity solutions and individual fairness. While individual fairness seeks to treat similar individuals similarly, optimal…

math.OC2024★ 2 cited

Auto-Calibration and Biconvex Compressive Sensing with Applications to Parallel MRI

Yuan Ni, Thomas Strohmer

We study an auto-calibration problem in which a transform-sparse signal is acquired via compressive sensing by multiple sensors in parallel, but with unknown calibration parameters…