4 papers
Sequential Exchange Monte Carlo: A Sampling Method for Bayesian Data Analysis without Parameter Tuning
Tomohiro Nabika, Kenji Nagata, Shun Katakami +2
Bayesian data analysis is widely used across many disciplines, and representative examples in materials science include spectral analysis and sparse modeling. In such applications,…
A Message-Passing Perspective on Ptychographic Phase Retrieval
Hajime Ueda, Shun Katakami, Masato Okada
We introduce a probabilistic approach to ptychographic reconstruction in computational imaging. Ptychography is an imaging method where the complex amplitude of an object is estima…
Bayesian Inference for Small-Angle Scattering Data II: Core-Shell Samples
Keigo Oyama, Yui Hayashi, Shigeo Kuwamoto +4
Small-angle scattering (SAS) techniques, which utilize neutrons and X-rays, are employed in various scientific fields, including materials science, biochemistry, and polymer physic…
Stochastic Vector Approximate Message Passing with applications to phase retrieval
Hajime Ueda, Shun Katakami, Masato Okada
Phase retrieval refers to the problem of recovering a high-dimensional vector from the magnitude of its linear transform $\boldsymbol{z} = A \bold…