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Thomas A. Catanach

Tommie A. Catanach

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2020 – today

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2024
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  - journals/isci/DuerschCD24
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Jed A. Duersch, Tommie A. Catanach, Niladri Das:
Logical activation functions for training arbitrary probabilistic Boolean operations. Inf. Sci. 664: 120304 (2024)
[i9]
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  - journals/corr/abs-2403-18072
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Shijie Zhong, Wanggang Shen, Tommie A. Catanach, Xun Huan:
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo. CoRR abs/2403.18072 (2024)
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  - journals/corr/abs-2406-01923
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Niladri Das, Ross Guttromson, Tommie A. Catanach:
Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis. CoRR abs/2406.01923 (2024)
2023
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  - conf/cdc/CatanachD23
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Tommie A. Catanach, Niladri Das:
Metrics for Bayesian Optimal Experiment Design Under Model Misspecification. CDC 2023: 7707-7714
[i7]
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  - journals/corr/abs-2304-07949
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Tommie A. Catanach, Niladri Das:
Metrics for Bayesian Optimal Experiment Design under Model Misspecification. CoRR abs/2304.07949 (2023)
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  - journals/corr/abs-2304-10650
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Daniel Hothem, Kevin C. Young, Tommie A. Catanach, Timothy Proctor:
Learning a quantum computer's capability using convolutional neural networks. CoRR abs/2304.10650 (2023)
2022
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Niladri Das, Jed A. Duersch, Tommie A. Catanach:
Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions. CDC 2022: 7522-7528
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  - journals/corr/abs-2203-08977
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Jed A. Duersch, Thomas A. Catanach, Niladri Das:
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic. CoRR abs/2203.08977 (2022)
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  - journals/corr/abs-2204-13089
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Niladri Das, Jed A. Duersch, Thomas A. Catanach:
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions. CoRR abs/2204.13089 (2022)
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  - journals/corr/abs-2209-13126
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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 abs/2209.13126 (2022)
2021
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  - journals/corr/abs-2103-02165
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Jed A. Duersch, Thomas A. Catanach:
Parsimonious Inference. CoRR abs/2103.02165 (2021)
2020
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  - journals/entropy/DuerschC20
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Jed A. Duersch, Thomas A. Catanach:
Generalizing Information to the Evolution of Rational Belief. Entropy 22(1): 108 (2020)

2010 – 2019

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2019
[i1]
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  - journals/corr/abs-1911-09559
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Jed A. Duersch, Thomas A. Catanach:
Generalizing Information to the Evolution of Rational Belief. CoRR abs/1911.09559 (2019)

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