51 citations · 178 across the 20 of their papers we have counts for
4 papers · 1 filter
Heteroscedastic Neural Surrogate Modeling for Robust and Rapid Bayesian Inference in Fusion Plasma Diagnostics
Liyun Zhang, Naoya Mamada, Kentaro Sakai +2
Bayesian inference via Markov Chain Monte Carlo (MCMC) provides effective parameter estimation, but its real-time application in complex physical systems is hindered by heavy compu…
Bayesian Localization and Uncertainty Quantification of Trace Species in Two-Dimensional SIMS Imaging
Mengchi Wang, Binsheu Shieh, Ichiro Akai +4
To enable accurate localization of trace species on material surfaces, we propose a Bayesian framework for analyzing two-dimensional (2D) secondary ion mass spectrometry (SIMS) ima…
Follow-Your-Preference++: Rethinking Preference Alignment for Image Inpainting
Junkun Yuan, Yutao Shen, Toru Aonishi +2
We study preference alignment for image inpainting. Rather than proposing yet another method, we revisit the problem from first principles and reassess its core challenges. We adop…
A Physics-Regularized Neural Network and Kirchhoff Markov Random Field Framework for Inferring Internal Electrochemical States from Operando Spectromicroscopy
Naoki Wada, Yuta Kimura, Masaichiro Mizumaki +3
Quantitative understanding of coupled reaction-transport dynamics in lithium-ion battery (LIB) composite electrodes is limited by the inaccessibility of key internal electrochemica…