44 citations · 48 across the 7 of their papers we have counts for
3 papers · 1 filter
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning
Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin +4
Combustion instabilities are particularly problematic for rocket thrust chambers because of their high energy release rates and their operation close to the structural limits. In t…
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…
Ensembling geophysical models with Bayesian Neural Networks
Ushnish Sengupta, Matt Amos, J. Scott Hosking +3
Ensembles of geophysical models improve projection accuracy and express uncertainties. We develop a novel data-driven ensembling strategy for combining geophysical models using Bay…