Heterogeneity, correlations and financial contagion F Caccioli, TA Catanach, JD Farmer Advances in Complex Systems 15 (supp02), 1250058, 2012 | 173 | 2012 |
Line outage localization using phasor measurement data in transient state M Garcia, T Catanach, S Vander Wiel, R Bent, E Lawrence IEEE Transactions on Power Systems 31 (4), 3019-3027, 2015 | 44 | 2015 |
Generalizing information to the evolution of rational belief JA Duersch, TA Catanach Entropy 22 (1), 108, 2020 | 12 | 2020 |
Bayesian inference of stochastic reaction networks using multifidelity sequential tempered Markov chain Monte Carlo TA Catanach, HD Vo, B Munsky International journal for uncertainty quantification 10 (6), 2020 | 12 | 2020 |
Bayesian system identification using auxiliary stochastic dynamical systems TA Catanach, JL Beck International Journal of Non-Linear Mechanics 94, 72-83, 2017 | 11 | 2017 |
Bayesian updating and uncertainty quantification using sequential tempered mcmc with the rank-one modified metropolis algorithm TA Catanach, JL Beck arXiv preprint arXiv:1804.08738, 2018 | 9 | 2018 |
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter R Villarreal, NN Vlassis, NN Phan, TA Catanach, RE Jones, NA Trask, ... Computational Mechanics 72 (1), 95-124, 2023 | 7 | 2023 |
Periodic variations in muon flux at project grand J Poirier, T Catanach Proc. Int. Cosmic Ray Conf 11, 173-176, 2011 | 7 | 2011 |
Atmospheric effects on muon flux at Project GRAND J Poirier, T Catanach 2011 32nd International Cosmic Ray Conference, Beijing, 11-18, 2011 | 6 | 2011 |
Context dependence of biological circuits TA Catanach, R McCardell, AA Baetica, RM Murray bioRxiv, 360040, 2018 | 5 | 2018 |
Computational methods for Bayesian inference in complex systems TA Catanach California Institute of Technology, 2017 | 5 | 2017 |
Parsimonious inference JA Duersch, TA Catanach arXiv preprint arXiv:2103.02165, 2021 | 2 | 2021 |
Characterization of Partially Observed Epidemics-Application to COVID-19 C Safta, J Ray, E Acquesta, TA Catanach, KS Chowdhary, B Debusschere, ... Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2020 | 2 | 2020 |
A Bayesian approach to inferring chemical signal timing and amplitude in a temporal logic gate using the cell population distributional response AA Baetica, TA Catanach, V Hsiao, RM Murray, JL Beck bioRxiv, 087379, 2016 | 2 | 2016 |
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo S Zhong, W Shen, T Catanach, X Huan arXiv preprint arXiv:2403.18072, 2024 | 1 | 2024 |
Metrics for Bayesian Optimal Experiment Design Under Model Misspecification TA Catanach, N Das 2023 62nd IEEE Conference on Decision and Control (CDC), 7707-7714, 2023 | 1 | 2023 |
Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops J Carter, J Feddema, D Kothe, R Neely, J Pruet, R Stevens, ... Argonne National Laboratory (ANL), Argonne, IL (United States), 2023 | 1 | 2023 |
Learning a quantum computer's capability using convolutional neural networks D Hothem, K Young, T Catanach, T Proctor arXiv preprint arXiv:2304.10650, 2023 | 1 | 2023 |
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic JA Duersch, TA Catanach, N Das arXiv preprint arXiv:2203.08977, 2022 | 1 | 2022 |
Predicting circuit success rates with artificial neural networks D Hothem, K Young, T Catanach, T Proctor APS March Meeting Abstracts 2022, K35. 003, 2022 | 1 | 2022 |