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Found 9 papers, 3 papers with code
Bayesian multi-exposure image fusion for robust high dynamic range ptychography
Image information is restricted by the dynamic range of the detector, which can be addressed using multi-exposure image fusion (MEF).
CowScape: Quantitative reconstruction of the conformational landscape of biological macromolecules from cryo-EM data
CowScape analyzes an entire cryo-EM dataset and thereby obtains a quantitative description of structural variability of macromolecular complexes that represents the biochemically relevant conformational space.
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
The performance of Markov chain Monte Carlo samplers strongly depends on the properties of the target distribution such as its covariance structure, the location of its probability mass and its tail behavior.
Matching biomolecular structures by registration of point clouds
Motivation: Assessing the match between two biomolecular structures is at the heart of structural analyses such as superposition, alignment and docking.
Gibbsian polar slice sampling
Polar slice sampling (Roberts & Rosenthal, 2002) is a Markov chain approach for approximate sampling of distributions that is difficult, if not impossible, to implement efficiently, but behaves provably well with respect to the dimension.
Model evidence from nonequilibrium simulations
We introduce estimators for the model evidence that combine forward and backward simulations and show for various challenging models that the evidence estimators outperform forward and reverse AIS.
Bayesian Evidence and Model Selection
In this paper we review the concepts of Bayesian evidence and Bayes factors, also known as log odds ratios, and their application to model selection.
Adaptive nonparametric detection in cryo-electron microscopy
Cryo-electron microscopy (cryo-EM) is an emerging experimental method to characterize the structure of large biomolecular assemblies.
Spatial statistics, image analysis and percolation theory
We specifically address the problem of detection of multiple objects of unknown shapes in the case of nonparametric noise.
