Somayajulu L. N. Dhulipala

1. Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
   2024/01/10 by Denny Thaler, Somayajulu L. N. Dhulipala, Thaler, Denny +7 · 2 citations
   Decision Sciences · Materials Science · Physics and Astronomy · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design
2. Covariance-free Bi-fidelity Control Variates Importance Sampling for Rare Event Reliability Analysis
   2024/05/06 by Promit Chakroborty, Chakroborty, Promit, Somayajulu L. N. Dhulipala +3 · 2 citations
   Engineering · #62-08 (Primary) #62D99 #62F10 #62H12 #62L12 #62P30 #65C05 #90B25 #FOS: Computer and information sciences #Fault Detection and Control Systems #G.3 #Methodology (stat.ME) #Nuclear Engineering Thermal-Hydraulics
3. General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation
   2022/12/07 by Promit Chakroborty, Somayajulu L. N. Dhulipala, Chakroborty, Promit +11 · 1 citation
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Reliability and Maintenance Optimization #Software Reliability and Analysis Research #Statistical Distribution Estimation and Applications #Statistics Theory (math.ST)
4. MOOSE ProbML: Parallelized Probabilistic Machine Learning and Uncertainty Quantification for Computational Energy Applications
   2025/04/23 by Somayajulu L. N. Dhulipala, Péter German, Dhulipala, Somayajulu L. N. +13 · 1 citation
   Engineering · #Applications (stat.AP) #Energy Load and Power Forecasting #FOS: Computer and information sciences
5. Quantifying Model Uncertainty of Neural Network-based Turbulence Closures
   2024/12/11 by Cody Grogan, Som Dutta, Grogan, Cody +7 · 2 citations
   Environmental Science · Engineering · #Wind and Air Flow Studies #Nuclear Engineering Thermal-Hydraulics #Fluid Dynamics and Turbulent Flows