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cs.LG2023
Score Normalization for a Faster Diffusion Exponential Integrator Sampler
Guoxuan Xia, Duolikun Danier, Ayan Das +4
Recently, Zhang et al. have proposed the Diffusion Exponential Integrator Sampler (DEIS) for fast generation of samples from Diffusion Models. It leverages the semi-linear nature o…
cs.LG2021
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles
Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper
This paper proposes a Bayesian data-driven machine learning method for the online inference of the parameters of a G-equation model of a ducted, premixed flame. Heteroscedastic Bay…
cs.LG2020
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles
Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper
The estimation of model parameters with uncertainties from observed data is a ubiquitous inverse problem in science and engineering. In this paper, we suggest an inexpensive and ea…