1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Probabilistic Forecasting of Wildfire Size Using Conditional Flow Matching
Isaac Lee, Bryan Shaddy, Assad Oberai
In this work we present a probabilistic model for predicting the temporal evolution of wildfire size using conditional generative algorithms, namely flow matching. Rather than pred…
Rapid Loss of the Sierra Nevada's Largest Trees Driven by Fire
Fabien H. Wagner, Dan J. Dixon, Christopher W. Woodall +15
Large trees disproportionately contribute to biomass storage, habitat structure, and ecosystem functioning. However, their distribution and health dynamics remain poorly quantified…
Conditional flow matching for physics-constrained inverse problems with finite training data
Agnimitra Dasgupta, Ali Fardisi, Mehrnegar Aminy +4
This study presents a conditional flow matching framework for solving physics-constrained Bayesian inverse problems. In this setting, samples from the joint distribution of inferre…
Probabilistic Forecasting of Localized Wildfire Spread Based on Conditional Flow Matching
Bryan Shaddy, Haitong Qin, Brianna Binder +4
This study presents a probabilistic surrogate model for localized wildfire spread based on a conditional flow matching algorithm. The approach models fire progression as a stochast…