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20182025
most citedReliable Neural Networks for Regression Uncertainty Estimation

22 citations · 67 across the 11 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.HC2019

RecyGlide : A Forearm-worn Multi-modal Haptic Display aimed to Improve User VR Immersion

Juan Heredia, Jonathan Tirado, Vladislav Panov +3

Haptic devices have been employed to immerse users in VR environments. In particular, hand and finger haptic devices have been deeply developed. However, this type of device occlud…

stat.ME2019★ 21 cited

A Generalized Bayesian Approach to Model Calibration

Tony Tohme, Kevin Vanslette, Kamal Youcef-Toumi

In model development, model calibration and validation play complementary roles toward learning reliable models. In this article, we expand the Bayesian Validation Metric framework…

stat.CO2019

Vectorized Uncertainty Propagation and Input Probability Sensitivity Analysis

Kevin Vanslette, Arwa Alanqari, Zeyad Al-awwad +1

In this article we construct a theoretical and computational process for assessing Input Probability Sensitivity Analysis (IPSA) using a Graphics Processing Unit (GPU) enabled tech…

stat.ME2019★ 11 cited

A General Model Validation and Testing Tool

Kevin Vanslette, Tony Tohme, Kamal Youcef-Toumi

We construct and propose the "Bayesian Validation Metric" (BVM) as a general model validation and testing tool. We find the BVM to be capable of representing all of the standard va…

math.ST2019★ 3 cited

Why Simple Quadrature is just as good as Monte Carlo

Kevin Vanslette, Abdullatif Al Alsheikh, Kamal Youcef-Toumi

We motive and calculate Newton--Cotes quadrature integration variance and compare it directly with Monte Carlo (MC) integration variance. We find an equivalence between determinist…