Showing 1–11 of 11 results
/ Date/ Name
Oct 28, 2020A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental designJan 20, 2022Large-scale Bayesian optimal experimental design with derivative-informed projected neural networkFeb 12, 2021An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemenAug 29, 2022Room temperature spin-orbit torque efficiency and magnetization switching in SrRuO3-based heterostructuresJun 8, 2023Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogateApr 13, 2026Rethinking Token-Level Credit Assignment in RLVR: A Polarity-Entropy AnalysisAug 26, 2022Anisotropic linear and nonlinear charge-spin conversion in topological semimetal SrIrO3Aug 27, 2015A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantificationNov 2, 2020Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilitiesJan 24, 2019Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High DimensionsMay 23, 2023Automated spacing measurement of formwork system members with 3D point cloud data