555 citations · 1.3k across the 16 of their papers we have counts for
3 papers · 1 filter
Latent Discretization for Continuous-time Sequence Compression
Ricky T. Q. Chen, Matthew Le, Matthew Muckley +2
Neural compression offers a domain-agnostic approach to creating codecs for lossy or lossless compression via deep generative models. For sequence compression, however, most deep s…
Image Compression with Product Quantized Masked Image Modeling
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich +3
Recent neural compression methods have been based on the popular hyperprior framework. It relies on Scalar Quantization and offers a very strong compression performance. This contr…
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Tim Bakker, Matthew Muckley, Adriana Romero-Soriano +2
Most current approaches to undersampled multi-coil MRI reconstruction focus on learning the reconstruction model for a fixed, equidistant acquisition trajectory. In this paper, we…