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Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning., , , , and . CoRR, (2021)Ensembling geophysical models with Bayesian Neural Networks., , , , , and . NeurIPS, (2020)Flame Double Input Describing Function analysis, and . Combustion and Flame, (2016)Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity., , and . J. Comput. Phys., (2016)Adjoint algorithms for the Navier-Stokes equations in the low Mach number limit., , , and . J. Comput. Phys., 231 (4): 1900-1916 (2012)Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem., and . CoRR, (2022)Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning., , , , , , and . CoRR, (2020)Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models., , and . ICCS (5), volume 12746 of Lecture Notes in Computer Science, page 408-419. Springer, (2021)Modal Stability Theory, , and . Applied Mechanics Reviews, (March 2014)Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification., , , and . J. Comput. Phys., (2016)