BibTeX

@article{2210.14602v2,
Author        = {Andrew Gambardella and Youngjun Choi and Doyo Choi and Jinjoon Lee},
Title         = {Efficient Data Mosaicing with Simulation-based Inference},
Eprint        = {2210.14602v2},
ArchivePrefix = {arXiv},
PrimaryClass  = {cs.SD},
Abstract      = {We introduce an efficient algorithm for general data mosaicing, based on the
simulation-based inference paradigm. Our algorithm takes as input a target
datum, source data, and partitions of the target and source data into
fragments, learning distributions over averages of fragments of the source data
such that samples from those distributions approximate fragments of the target
datum. We utilize a model that can be trivially parallelized in conjunction
with the latest advances in efficient simulation-based inference in order to
find approximate posteriors fast enough for use in practical applications. We
demonstrate our technique is effective in both audio and image mosaicing
problems.},
Year          = {2022},
Month         = {Oct},
Url           = {http://arxiv.org/abs/2210.14602v2},
File          = {2210.14602v2.pdf}
}