Somayajulu L. N. Dhulipala

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Bayesian Inference

Top Venues

J. Comput. Phys.

Reliab. Eng. Syst. Saf.

Publications

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd Markert, Michael D. Shields
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks. CoRR (2024)
Andrew E. Slaughter, Zachary M. Prince, Peter German, Ian Halvic, Wen Jiang, Benjamin W. Spencer, Somayajulu L. N. Dhulipala, Derek R. Gaston
MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations. SoftwareX 22 (2023)
Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields
Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling. J. Comput. Phys. 492 (2023)
Somayajulu L. N. Dhulipala, Michael D. Shields, Benjamin W. Spencer, Chandrakanth Bolisetti, Andrew E. Slaughter, Vincent M. Laboure, Promit Chakroborty
Active learning with multifidelity modeling for efficient rare event simulation. J. Comput. Phys. 468 (2022)
Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields
Bayesian Inference with Latent Hamiltonian Neural Networks. CoRR (2022)
Promit Chakroborty, Somayajulu L. N. Dhulipala, Yifeng Che, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Michael D. Shields
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation. CoRR (2022)
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
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation. Reliab. Eng. Syst. Saf. 226 (2022)
Somayajulu L. N. Dhulipala, Ryan C. Hruska
Efficient Interdependent Systems Recovery Modeling with DeepONets. CoRR (2022)
Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference. CoRR (2022)
Somayajulu L. N. Dhulipala, Michael D. Shields, Benjamin W. Spencer, Chandrakanth Bolisetti, Andrew E. Slaughter, Vincent M. Laboure, Promit Chakroborty
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation. CoRR (2021)
Somayajulu L. N. Dhulipala, Madeleine M. Flint
Series of semi-Markov processes to model infrastructure resilience under multihazards. Reliab. Eng. Syst. Saf. 193 (2020)