Thomas A. Catanach

Inf. Sci., 2024

Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscape.

[BibT_eX]

[DOI]

CoRR, 2024

Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design.

[BibT_eX]

[DOI]

CoRR, 2024

Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis.

[BibT_eX]

[DOI]

Ross Guttromson

CoRR, 2024

Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Metrics for Bayesian Optimal Experiment Design Under Model Misspecification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sharlotte L. B. Kramer

WaiChing Sun

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive n-ary Activation Functions for Probabilistic Boolean Logic.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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

2021

Parsimonious Inference.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Generalizing Information to the Evolution of Rational Belief.

[BibT_eX]

[DOI]