Results 11 to 20 of about 18,085 (342)

Ultrafast current imaging by Bayesian inversion [PDF]

Nature Communications, 2018
Scanning probe microscopy is widely used to characterize material properties with atomic resolution, yet electronic property mapping is normally constrained by slow data acquisition. Somnath et al.
S. Somnath, K. J. H. Law, A. N. Morozovska, P. Maksymovych, Y. Kim, X. Lu, M. Alexe, R. Archibald, S. V. Kalinin, S. Jesse, R. K. Vasudevan   +10 more
doaj   +6 more sources

InvertypeR: Bayesian inversion genotyping with Strand-seq data [PDF]

BMC Genomics, 2021
Background Single cell Strand-seq is a unique tool for the discovery and phasing of genomic inversions. Conventional methods to discover inversions with Strand-seq data are blind to known inversion locations, limiting their statistical power for the ...
Vincent C. T. Hanlon, Carl-Adam Mattsson, Diana C. J. Spierings, Victor Guryev, Peter M. Lansdorp   +4 more
doaj   +2 more sources

Bayesian Inversion for Geoacoustic Parameters in Shallow Sea [PDF]

Sensors, 2020
Geoacoustic parameter inversion is a crucial issue in underwater acoustic research for shallow sea environments and has increasingly become popular in the recent past.
Guangxue Zheng, Hanhao Zhu, Xiaohan Wang, Sartaj Khan, Nansong Li, Yangyang Xue   +5 more
doaj   +2 more sources

Approximation of Bayesian Inverse Problems for PDEs [PDF]

SIAM Journal on Numerical Analysis, 2010
35 pages, 3 ...
S. L. Cotter, M. Dashti, Andrew M. Stuart   +2 more
openaire   +5 more sources

Deep Bayesian inversion

Characterizing statistical properties of solutions of inverse problems is essential for decision making. Bayesian inversion offers a tractable framework for this purpose, but current approaches are computationally unfeasible for most realistic imaging applications in the clinic. We introduce two novel deep learning based methods for solving large-scale
Adler, Jonas, Öktem, Ozan
core   +6 more sources

On Bayesian scatterometer wind inversion [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2006
In a quest for a generic unbiased scatterometer wind inversion method, the different inversion procedures currently in use are revisited in this paper. A careful examination of both the errors in the wind and in the measurement domain, combined with the nonlinear shape of the geophysical model function (GMF), leads to a generic and novel Bayesian wind ...
Ad Stoffelen, Marcos Portabella
openaire   +3 more sources

QEKI: A Quantum–Classical Framework for Efficient Bayesian Inversion of PDEs [PDF]

Entropy
Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional parameter spaces ...
Jiawei Yong, Sihai Tang
doaj   +2 more sources

Bayesian inversion of a diffusion model with application to biology. [PDF]

J Math Biol, 2021
Croix JC, Durrande N, Alvarez MA.
europepmc   +3 more sources

Single-hydrophone Bayesian matched-field geoacoustic inversiona) [PDF]

JASA Express Letters
This paper presents Bayesian matched-field geoacoustic inversion results based on measurements from a single hydrophone. To efficiently compute the posterior distribution, we employ an adaptive Metropolis–Hastings sampling strategy, which dynamically ...
Yongsung Park, Thomas Kropfreiter, Florian Meyer, Peter Gerstoft   +3 more
doaj   +2 more sources

Surrogate-accelerated Bayesian Inversion for Exoplanet Interior Characterization

The Astrophysical Journal
Characterizing the interior structure of exoplanets is an inverse problem often solved using Bayesian inference, but this approach is hampered by the high computational cost of planetary structure models.
Tijn de Wringer, Caroline Dorn, Emily O. Garvin, Stefano Marelli   +3 more
doaj   +2 more sources