2 papers
cs.LG2026
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…
cs.LG2024
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…