Somayajulu L. N. Dhulipala

Orcid: 0000-0002-0801-4250

According to our database1, Somayajulu L. N. Dhulipala authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks.
CoRR, 2024

2023
Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling.
J. Comput. Phys., November, 2023

MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations.
SoftwareX, May, 2023

2022
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation.
Reliab. Eng. Syst. Saf., 2022

Active learning with multifidelity modeling for efficient rare event simulation.
J. Comput. Phys., 2022

General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation.
CoRR, 2022

Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference.
CoRR, 2022

Bayesian Inference with Latent Hamiltonian Neural Networks.
CoRR, 2022

Efficient Interdependent Systems Recovery Modeling with DeepONets.
CoRR, 2022

2020
Series of semi-Markov processes to model infrastructure resilience under multihazards.
Reliab. Eng. Syst. Saf., 2020


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