activity
20232025
most citedDetecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Runge-Kutta Approximations for Direct Coning Compensation Applying Lie Theory

John A. Christian, Michael R. Walker, Wyatt Bridgman +1

The integration of gyroscope measurements is an essential task for most navigation systems. Modern vehicles typically use strapdown systems, such that gyro integration requires con…

stat.AP2024★ 1 cited

Detecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation

Wyatt Bridgman, Cosmin Safta, Jaideep Ray

In this paper, we explore whether the infection-rate of a disease can serve as a robust monitoring variable in epidemiological surveillance algorithms. The infection-rate is depend…

stat.AP2024

Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling

Cosmin Safta, Wyatt Bridgman, Jaideep Ray

In this paper, we develop a method to estimate the infection-rate of a disease, over a region, as a field that varies in space and time. To do so, we use time-series of case-counts…

stat.ML2023

Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy

Wyatt Bridgman, Uma Balakrishnan, Reese Jones +5

In the field of surrogate modeling, polynomial chaos expansion (PCE) allows practitioners to construct inexpensive yet accurate surrogates to be used in place of the expensive forw…

stat.ME2023

Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations

Wyatt Bridgman, Reese Jones, Mohammad Khalil

For predictive modeling relying on Bayesian inversion, fully independent, or ``mean-field'', Gaussian distributions are often used as approximate probability density functions in v…