81 citations · 134 across the 19 of their papers we have counts for
4 papers · 1 filter
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
Chao Chen, Xiao Lin, Gabriel Terejanu
Long Short-Term Memory networks trained with gradient descent and back-propagation have received great success in various applications. However, point estimation of the weights of…
Identifying Active Sites of the Water-Gas Shift Reaction over Titania Supported Platinum Catalysts under Uncertainty
Eric A. Walker, Donald Mitchell, Gabriel A. Terejanu +1
A comprehensive uncertainty quantification framework has been developed for integrating computational and experimental kinetic data and to identify active sites and reaction mechan…
EnLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models
Xiao Lin, Gabriel Terejanu
Real-time nonlinear Bayesian filtering algorithms are overwhelmed by data volume, velocity and increasing complexity of computational models. In this paper, we propose a novel ense…
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions
Xiao Lin, Asif Chowdhury, Xiaofan Wang +1
Since the cost of installing and maintaining sensors is usually high, sensor locations are always strategically selected. For those aiming at inferring certain quantities of intere…