Yifeng Che

According to our database, Yifeng Che authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

MOOSE ProbML: Parallelized probabilistic machine learning and uncertainty quantification for computational energy applications.

Somayajulu L. N. Dhulipala, Peter German, Yifeng Che, Zachary M. Prince, Xianjian Xie, Pierre-Clément A. Simon, Vincent M. Laboure, Hao Yan

J. Comput. Sci., 2026

2023

Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling.

Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields

J. Comput. Phys., November, 2023

2022

Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation.

Somayajulu L. N. Dhulipala, Michael D. Shields, Promit Chakroborty, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Vincent M. Laboure, Zachary M. Prince, Chandrakanth Bolisetti, Yifeng Che

Reliab. Eng. Syst. Saf., 2022

General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation.

Promit Chakroborty, Somayajulu L. N. Dhulipala, Yifeng Che, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Michael D. Shields

CoRR, 2022

Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference.

Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields

CoRR, 2022

Bayesian Inference with Latent Hamiltonian Neural Networks.

Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields

CoRR, 2022

2021

Machine learning-assisted surrogate construction for full-core fuel performance analysis.

Yifeng Che, Joseph Yurko, Koroush Shirvan

CoRR, 2021