3 citations · 3 across the 1 of their papers we have counts for
3 papers
stat.ML2021
Compressive Independent Component Analysis: Theory and Algorithms
Michael P. Sheehan, Mike E. Davies
Compressive learning forms the exciting intersection between compressed sensing and statistical learning where one exploits forms of sparsity and structure to reduce the memory and…
eess.SP2021
Surface Detection for Sketched Single Photon Lidar
Michael P. Sheehan, Julián Tachella, Mike E. Davies
Single-photon lidar devices are able to collect an ever-increasing amount of time-stamped photons in small time periods due to increasingly larger arrays, generating a memory and c…
stat.ML2019★ 3 cited
Compressive Learning for Semi-Parametric Models
Michael P. Sheehan, Antoine Gonon, Mike E. Davies
In the compressive learning theory, instead of solving a statistical learning problem from the input data, a so-called sketch is computed from the data prior to learning. The sketc…