3 papers
stat.ML2025
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty
Jichuan Tang, Patrick T. Brewick, Ryan G. McClarren +1
Spatio-temporal data, which consists of responses or measurements gathered at different times and positions, is ubiquitous across diverse applications of civil infrastructure. Whil…
stat.CO2025
Likelihood Level Adapted Estimation of Marginal Likelihood for Bayesian Model Selection
Subhayan De, Reza Farzad, Patrick T. Brewick +2
In computational mechanics, multiple models are often present to describe a physical system. While Bayesian model selection is a helpful tool to compare these models using measurem…
stat.ML2023
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Subhayan De, Patrick T. Brewick
Nonlinear systems, such as with degrading hysteretic behavior, are often encountered in engineering applications. In addition, due to the ubiquitous presence of uncertainty and the…