1 code implementation • 17 Mar 2024 • Shantanu Kodgirwar, Lars Loetgering, Chang Liu, Aleena Joseph, Leona Licht, Daniel S. Penagos Molina, Wilhelm Eschen, Jan Rothhardt, Michael Habeck
Image information is restricted by the dynamic range of the detector, which can be addressed using multi-exposure image fusion (MEF).
no code implementations • 18 Feb 2024 • Felix Lambrecht, Andreas Kröpelin, Mario Lüttich, Michael Habeck, David Haselbach, Holger Stark
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.
1 code implementation • 29 Jan 2024 • Philip Schär, Michael Habeck, Daniel Rudolf
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.
no code implementations • 22 Jan 2024 • Michael Habeck, Andreas Kröpelin, Nima Vakili
Motivation: Assessing the match between two biomolecular structures is at the heart of structural analyses such as superposition, alignment and docking.
1 code implementation • 8 Feb 2023 • Philip Schär, Michael Habeck, Daniel Rudolf
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.
no code implementations • NeurIPS 2017 • Michael Habeck
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.
no code implementations • 11 Nov 2014 • Kevin H. Knuth, Michael Habeck, Nabin K. Malakar, Asim M. Mubeen, Ben Placek
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.
no code implementations • 29 Nov 2013 • Mikhail Langovoy, Michael Habeck, Bernhard Schoelkopf
Cryo-electron microscopy (cryo-EM) is an emerging experimental method to characterize the structure of large biomolecular assemblies.
no code implementations • 31 Oct 2013 • Mikhail Langovoy, Michael Habeck, Bernhard Schölkopf
We specifically address the problem of detection of multiple objects of unknown shapes in the case of nonparametric noise.