Generalizing Information to the Evolution of Rational Belief. - Jed A. Duersch; Thomas A. Catanach (Entropy, 2020)

Parsimonious Inference. - Jed A. Duersch; Thomas A. Catanach (CoRR, 2021)

Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions. - Niladri Das; Jed A. Duersch; Tommie A. Catanach (CDC, 2022)

Adaptive n-ary Activation Functions for Probabilistic Boolean Logic. - Jed A. Duersch; Thomas A. Catanach; Niladri Das (CoRR, 2022)

Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions. - Niladri Das; Jed A. Duersch; Thomas A. Catanach (CoRR, 2022)

Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter. - Rubén Villarreal; Nikolaos N. Vlassis; Nhon N. Phan; Tommie A. Catanach; Reese E. Jones; Nathaniel A. Trask; Sharlotte L. B. Kramer; WaiChing Sun (CoRR, 2022)

Metrics for Bayesian Optimal Experiment Design Under Model Misspecification. - Tommie A. Catanach; Niladri Das (CDC, 2023)

Learning a quantum computer's capability using convolutional neural networks. - Daniel Hothem; Kevin C. Young; Tommie A. Catanach; Timothy Proctor (CoRR, 2023)

Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo. - Shijie Zhong; Wanggang Shen; Tommie A. Catanach; Xun Huan (CoRR, 2024)

Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis. - Niladri Das; Ross Guttromson; Tommie A. Catanach (CoRR, 2024)

Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design. - Jake Callahan; Kevin Monogue; Rubén Villarreal; Thomas A. Catanach (CoRR, 2024)

Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscape. - Jed A. Duersch; Tommie A. Catanach; Alexander Safonov; Jeremy Wendt (CoRR, 2024)

Logical activation functions for training arbitrary probabilistic Boolean operations. - Jed A. Duersch; Tommie A. Catanach; Niladri Das (Inf. Sci., 2024)