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Inversion-based Latent Bayesian Optimization [PDF]
Latent Bayesian optimization (LBO) approaches have successfully adopted Bayesian optimization over a continuous latent space by employing an encoder-decoder architecture to address the challenge of optimization in a high dimensional or discrete input ...
Jaewon Chu +3 more
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Bayesian Markov Chain Monte Carlo inversion of surface-based transient electromagnetic data
SN Applied Sciences, 2022 Article Highlights 1. We propose a Bayesian MCMC procedure for surface-based TEM data inversion and apply it successfully both in synthetic data and field data. 2.
Shengqiang Deng +4 more
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Bayesian inversion of Stokes profiles [PDF]
Astronomy & Astrophysics, 2007 [abridged] Inversion techniques are the most powerful methods to obtain information about the thermodynamical and magnetic properties of solar and stellar atmospheres. In the last years, we have witnessed the development of highly sophisticated inversion codes that are now widely applied to spectro-polarimetric observations.
Asensio-Ramos, Andrés +2 more
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gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective
Infrastructures, 2021 In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs.
Filippo Landi +3 more
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Seismica, 2022 Geodynamic tomography, an imaging technique that incorporates constraints from geodynamics and mineral physics to restrict the potential number of candidate seismic models down to a subset consistent with geodynamic predictions, is applied to a thermal ...
John Keith Magali, Thomas Bodin
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, 2021 In geothermal exploration, magnetotelluric (MT) data and inversion models are commonly used to image shallow conductors typically associated with the presence of an electrically conductive clay cap that overlies the main reservoir.
Sepulveda, F +6 more
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Greenhouse gas observation network design for Africa
Tellus: Series B, Chemical and Physical Meteorology, 2020 An optimal network design was carried out to prioritise the installation or refurbishment of greenhouse gas (GHG) monitoring stations around Africa. The network was optimised to reduce the uncertainty in emissions across three of the most important GHGs:
Alecia Nickless +11 more
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The Bayesian Approach to Inverse Problems [PDF]
, 2015 These lecture notes highlight the mathematical and computational structure relating to the formulation of, and development of algorithms for, the Bayesian approach to inverse problems in differential equations. This approach is fundamental in the quantification of uncertainty within applications involving the blending of mathematical models with data.
Dashti, Masoumeh, Stuart, Andrew M.
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Global crustal thickness from neural network inversion of surface wave data [PDF]
, 2007 We present a neural network approach to invert surface wave data for a global model of crustal thickness with corresponding uncertainties. We model the a posteriori probability distribution of Moho depth as a mixture of Gaussians and let the various ...
Andrew Curtis +5 more
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Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods [PDF]
, 2014 We present a hierarchical Bayesian method for atmospheric trace gas inversions. This method is used to estimate emissions of trace gases as well as "hyper-parameters" that characterize the probability density functions (PDFs) of the a priori emissions ...
Li, S. +37 more
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