Tommie A. Catanach

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

High Dimensions

Experimental Design

Bayesian Learning

Top Venues

Publications

Niladri Das, Ross Guttromson, Tommie A. Catanach
Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis. CoRR (2024)
Jed A. Duersch, Tommie A. Catanach, Niladri Das
Logical activation functions for training arbitrary probabilistic Boolean operations. Inf. Sci. 664 (2024)
Shijie Zhong, Wanggang Shen, Tommie A. Catanach, Xun Huan
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo. CoRR (2024)
Tommie A. Catanach, Niladri Das
Metrics for Bayesian Optimal Experiment Design under Model Misspecification. CoRR (2023)
Daniel Hothem, Kevin Young, Tommie A. Catanach, Timothy Proctor
Learning a quantum computer's capability using convolutional neural networks. CoRR (2023)
Tommie A. Catanach, Niladri Das
Metrics for Bayesian Optimal Experiment Design Under Model Misspecification. CDC (2023)
Niladri Das, Jed A. Duersch, Tommie A. Catanach
Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions. CDC (2022)
Rubén Villarreal, Nikolaos N. Vlassis, Nhon N. Phan, Tommie A. Catanach, Reese E. Jones, Nathaniel A. Trask, Sharlotte L. B. Kramer, WaiChing Sun
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter. CoRR (2022)