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.
Deep decoder: Concise image representations from untrained non- convolutional networks, 2019
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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.