2 papers
cs.LG2025
Deep Learning Surrogates for Real-Time Gas Emission Inversion
Thomas Newman, Christopher Nemeth, Matthew Jones +1
Real-time identification and quantification of greenhouse-gas emissions under transient atmospheric conditions is a critical challenge in environmental monitoring. We introduce a s…
stat.AP2024
Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
Thomas Newman, Christopher Nemeth, Matthew Jones +1
In response to global concerns regarding air quality and the environmental impact of greenhouse gas emissions, detecting and quantifying sources of emissions has become critical. T…