1 citations · 1 across the 3 of their papers we have counts for
4 papers
Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification
Jack Michael Solomon, Rishi Leburu, Matthias Chung
Inverse problems are fundamental to many scientific and engineering disciplines; they arise when one seeks to reconstruct hidden, underlying quantities from noisy measurements. Man…
Fast -Regularized EEG Source Localization Using Variable Projection
Jack Michael Solomon, Rosemary Renaut, Matthias Chung
Electroencephalograms (EEG) are invaluable for treating neurological disorders, however, mapping EEG electrode readings to brain activity requires solving a challenging inverse pro…
Sparse -Autoencoders for Scientific Data Compression
Matthias Chung, Rick Archibald, Paul Atzberger +1
Scientific datasets present unique challenges for machine learning-driven compression methods, including more stringent requirements on accuracy and mitigation of potential invalid…
Image reconstructions using sparse dictionary representations and implicit, non-negative mappings
Elizabeth Newman, Jack Michael Solomon, Matthias Chung
Many imaging science tasks can be modeled as a discrete linear inverse problem. Solving linear inverse problems is often challenging, with ill-conditioned operators and potentially…