UQpy v4.1: Uncertainty quantification with Python von Tsapetis, Dimitrios, Shields, Michael D., Giovanis, Dimitris G., Olivier, Audrey, Novak, Lukas, Chakroborty, Promit, Sharma, Himanshu, Chauhan, Mohit, Kontolati, Katiana, Vandanapu, Lohit, Loukrezis, Dimitrios, Gardner, Michael

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Active learning with multifidelity modeling for efficient rare event simulation von Dhulipala, Somayajulu L.N., Shields, Michael D., Spencer, Benjamin W., Bolisetti, Chandrakanth, Slaughter, Andrew E., Labouré, Vincent M., Chakroborty, Promit

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Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation von Dhulipala, Somayajulu L.N., Shields, Michael D., Chakroborty, Promit, Jiang, Wen, Spencer, Benjamin W., Hales, Jason D., Labouré, Vincent M., Prince, Zachary M., Bolisetti, Chandrakanth, Che, Yifeng

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General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation von Chakroborty, Promit, Dhulipala, Somayajulu L. N., Che, Yifeng, Jiang, Wen, Spencer, Benjamin W., Hales, Jason D., Shields, Michael D.

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Accelerated statistical failure analysis of multifidelity TRISO fuel models von Dhulipala, Somayajulu L.N., Jiang, Wen, Spencer, Benjamin W., Hales, Jason D., Shields, Michael D., Slaughter, Andrew E., Prince, Zachary M., Labouré, Vincent M., Bolisetti, Chandrakanth, Chakroborty, Promit

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Intrepid MCMC: Metropolis-Hastings with Exploration von Chakroborty, Promit, Shields, Michael D

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Covariance-free Bi-fidelity Control Variates Importance Sampling for Rare Event Reliability Analysis von Chakroborty, Promit, Dhulipala, Somayajulu L. N, Shields, Michael D

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Intrepid MCMC: Metropolis-Hastings with Exploration von Chakroborty, Promit, Shields, Michael D

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Covariance-free Bi-fidelity Control Variates Importance Sampling for Rare Event Reliability Analysis von Chakroborty, Promit, Somayajulu L N Dhulipala, Shields, Michael D

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General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation von Chakroborty, Promit, Dhulipala, Somayajulu L. N, Che, Yifeng, Jiang, Wen, Spencer, Benjamin W, Hales, Jason D, Shields, Michael D

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Multifidelity Active Learning for Failure Estimation of TRISO Nuclear Fuel von Dhulipala, Somayajulu L. N, Chakroborty, Promit, Shields, Michael D, Jiang, Wen, Spencer, Benjamin W, Hales, Jason D

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UQpy v4.1: Uncertainty Quantification with Python von Tsapetis, Dimitrios, Shields, Michael D, Giovanis, Dimitris G, Olivier, Audrey, Novak, Lukas, Chakroborty, Promit, Sharma, Himanshu, Chauhan, Mohit, Kontolati, Katiana, Vandanapu, Lohit, Loukrezis, Dimitrios, Gardner, Michael

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Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active Learning, Multifidelity Modeling, and Subset Simulation von Dhulipala, Somayajulu L. N, Shields, Michael D, Chakroborty, Promit, Jiang, Wen, Spencer, Benjamin W, Hales, Jason D, Laboure, Vincent M, Prince, Zachary M, Bolisetti, Chandrakanth, Che, Yifeng

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General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation von Chakroborty, Promit, Somayajulu L N Dhulipala, Che, Yifeng, Jiang, Wen, Spencer, Benjamin W, Hales, Jason D, Shields, Michael D

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Multifidelity Active Learning for Failure Estimation of TRISO Nuclear Fuel von Somayajulu L N Dhulipala, Chakroborty, Promit, Shields, Michael D, Jiang, Wen, Spencer, Benjamin W, Hales, Jason D

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UQpy v4.1: Uncertainty Quantification with Python von Tsapetis, Dimitrios, Shields, Michael D, Giovanis, Dimitris G, Olivier, Audrey, Novak, Lukas, Chakroborty, Promit, Sharma, Himanshu, Chauhan, Mohit, Kontolati, Katiana, Vandanapu, Lohit, Loukrezis, Dimitrios, Gardner, Michael

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Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active Learning, Multifidelity Modeling, and Subset Simulation von Somayajulu L N Dhulipala, Shields, Michael D, Chakroborty, Promit, Jiang, Wen, Spencer, Benjamin W, Hales, Jason D, Laboure, Vincent M, Prince, Zachary M, Bolisetti, Chandrakanth, Che, Yifeng

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