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Active Learning with Multifidelity Modeling for Efficient Rare Event
  Simulation

Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation

25 June 2021
Somayajulu L. N. Dhulipala
Michael D. Shields
B. Spencer
C. Bolisetti
A. Slaughter
V. Labouré
P. Chakroborty
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Papers citing "Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation"

11 / 11 papers shown
Title
Reliability Analysis of Complex Systems using Subset Simulations with
  Hamiltonian Neural Networks
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
Denny Thaler
Somayajulu L. N. Dhulipala
F. Bamer
Bernd Markert
Michael D. Shields
21
7
0
10 Jan 2024
A physics and data co-driven surrogate modeling method for
  high-dimensional rare event simulation
A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation
Jianhua Xian
Ziqi Wang
AI4CE
20
9
0
30 Sep 2023
A Comprehensive Survey on Rare Event Prediction
A Comprehensive Survey on Rare Event Prediction
Chathurangi Shyalika
Ruwan Wickramarachchi
A. Sheth
AI4TS
26
15
0
20 Sep 2023
UQpy v4.1: Uncertainty Quantification with Python
UQpy v4.1: Uncertainty Quantification with Python
Dimitrios Tsapetis
Michael D. Shields
Dimitris G. Giovanis
Audrey Olivier
Lukás Novák
...
Mohit Chauhan
Katiana Kontolati
Lohit Vandanapu
Dimitrios Loukrezis
Michael Gardner
GP
24
11
0
16 May 2023
Relaxation-based importance sampling for structural reliability analysis
Relaxation-based importance sampling for structural reliability analysis
Jianhua Xian
Ziqi Wang
24
13
0
23 Mar 2023
General multi-fidelity surrogate models: Framework and active learning
  strategies for efficient rare event simulation
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation
Promiti Chakroborty
Somayajulu L. N. Dhulipala
Yifeng Che
Wen Jiang
B. Spencer
J. Hales
Michael D. Shields
AI4CE
19
3
0
07 Dec 2022
Physics-Informed Machine Learning of Dynamical Systems for Efficient
  Bayesian Inference
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Somayajulu L. N. Dhulipala
Yifeng Che
Michael D. Shields
20
0
0
19 Sep 2022
Bayesian Inference with Latent Hamiltonian Neural Networks
Bayesian Inference with Latent Hamiltonian Neural Networks
Somayajulu L. N. Dhulipala
Yifeng Che
Michael D. Shields
BDL
21
3
0
12 Aug 2022
Cost-effective Framework for Gradual Domain Adaptation with
  Multifidelity
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity
Shogo Sagawa
H. Hino
CLL
27
6
0
09 Feb 2022
Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active
  Learning, Multifidelity Modeling, and Subset Simulation
Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active Learning, Multifidelity Modeling, and Subset Simulation
Somayajulu L. N. Dhulipala
Michael D. Shields
Promiti Chakroborty
Wen Jiang
B. Spencer
J. Hales
V. Labouré
Zachary M. Prince
C. Bolisetti
Yifeng Che
17
19
0
06 Jan 2022
Ensemble approximate control variate estimators: Applications to
  multi-fidelity importance sampling
Ensemble approximate control variate estimators: Applications to multi-fidelity importance sampling
Trung T. Pham
Alex A. Gorodetsky
24
13
0
07 Jan 2021
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