A Bayesian system that samples and visualizes the distribution of simulation parameters consistent with a user-specified output feature, using a density prior and Hamiltonian Monte Carlo.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates
A Bayesian system that samples and visualizes the distribution of simulation parameters consistent with a user-specified output feature, using a density prior and Hamiltonian Monte Carlo.