Somayajulu L. N. Dhulipala

According to our database, Somayajulu L. N. Dhulipala authored at least 13 papers between 2020 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

2025

Compositional Generation for Long-Horizon Coupled PDEs.

Somayajulu L. N. Dhulipala, Deep Ray, Nicholas Forman

CoRR, October, 2025

Covariance-Free Bifidelity Control Variates Importance Sampling for Rare Event Reliability Analysis.

Promit Chakroborty, Somayajulu L. N. Dhulipala, Michael D. Shields

SIAM/ASA J. Uncertain. Quantification, 2025

2024

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

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd Markert, Michael D. Shields

CoRR, 2024

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

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

Andrew E. Slaughter, Zachary M. Prince, Peter German, Ian Halvic, Wen Jiang, Benjamin W. Spencer, Somayajulu L. N. Dhulipala, Derek R. Gaston

SoftwareX, May, 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

Active learning with multifidelity modeling for efficient rare event simulation.

Somayajulu L. N. Dhulipala, Michael D. Shields, Benjamin W. Spencer, Chandrakanth Bolisetti, Andrew E. Slaughter, Vincent M. Laboure, Promit Chakroborty

J. Comput. Phys., 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

Efficient Interdependent Systems Recovery Modeling with DeepONets.

Somayajulu L. N. Dhulipala, Ryan C. Hruska

CoRR, 2022

2020

Series of semi-Markov processes to model infrastructure resilience under multihazards.

Somayajulu L. N. Dhulipala, Madeleine M. Flint

Reliab. Eng. Syst. Saf., 2020