Thomas A. Catanach

According to our database, Thomas A. Catanach authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

Learning a quantum computer's capability using convolutional neural networks.

Daniel Hothem, Kevin C. Young, Tommie A. Catanach, Timothy Proctor

CoRR, 2023

Metrics for Bayesian Optimal Experiment Design Under Model Misspecification.

Tommie A. Catanach, Niladri Das

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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

Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions.

Niladri Das, Jed A. Duersch, Thomas A. Catanach

CoRR, 2022

Adaptive n-ary Activation Functions for Probabilistic Boolean Logic.

Jed A. Duersch, Thomas A. Catanach, Niladri Das

CoRR, 2022

Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions.

Niladri Das, Jed A. Duersch, Tommie A. Catanach

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Parsimonious Inference.

Jed A. Duersch, Thomas A. Catanach

CoRR, 2021

2020

Generalizing Information to the Evolution of Rational Belief.

Jed A. Duersch, Thomas A. Catanach

Entropy, 2020