3 papers
cs.LG2026
ArrowFlow: Hierarchical Machine Learning in the Space of Permutations
Ozgur Yilmaz
We introduce ArrowFlow, a machine learning architecture that operates entirely in the space of permutations. Its computational units are ranking filters, learned orderings that com…
cs.IT2026
Partially deterministic sampling for compressed sensing with denoising guarantees
Yaniv Plan, Matthew S. Scott, Ozgur Yilmaz
We study compressed sensing when the sampling vectors are chosen from the rows of a unitary matrix. In the literature, these sampling vectors are typically chosen randomly; the use…
stat.ML2025
Denoising guarantees for optimized sampling schemes in compressed sensing
Yaniv Plan, Matthew S. Scott, Xia Sheng +1
Compressed sensing with subsampled unitary matrices benefits from \emph{optimized} sampling schemes, which feature improved theoretical guarantees and empirical performance relativ…