pJRM extends the Joint Recovery Method with a shared generative model to output posterior distributions for time-lapse CO2 plume monitoring; a synthetic study suggests better reconstruction and lower uncertainty than independent recovery.
sintefmath/jutuldarcy.jl: v0.2.3, April 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring
pJRM extends the Joint Recovery Method with a shared generative model to output posterior distributions for time-lapse CO2 plume monitoring; a synthetic study suggests better reconstruction and lower uncertainty than independent recovery.