Showing stat.MLShow all
2 papers · 1 filter
stat.ML2025
STARK denoises spatial transcriptomics images via adaptive regularization
Sharvaj Kubal, Naomi Graham, Matthieu Heitz +4
We present an approach to denoising spatial transcriptomics images that is particularly effective for uncovering cell identities in the regime of ultra-low sequencing depths, and a…
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…