Bruno Sudret
- Polynomial-Chaos-based Kriging
2015/02/13 by R. Schoebi, Schoebi, R., Bruno Sudret +3 · 5 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
- Automatic selection of basis-adaptive sparse polynomial chaos expansions\n for engineering applications
2020/09/10 by Nora Lüthen, Lüthen, Nora, Stefano Marelli +3 · 6 citations
Computer Science · Decision Sciences · Engineering · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design #Structural Health Monitoring Techniques
- Quantile-based optimization under uncertainties using adaptive Kriging surrogate models
2016/05/29 by Maliki Moustapha, Bruno Sudret, Moustapha, M. +5 · 2 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
- Surrogate Modeling of Stochastic Functions - Application to\n computational Electromagnetic Dosimetry
2018/11/09 by Soumaya Azzi, Azzi, Soumaya, Yuanyuan Huang +5 · 2 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Other Statistics (stat.OT) #Simulation Techniques and Applications #Statistical Distribution Estimation and Applications
- Stochastic spectral embedding
2020/04/09 by Stefano Marelli, Paul‐Remo Wagner, Marelli, S. +5 · 2 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design
- Development of Probabilistic Dam Breach Model Using Bayesian Inference
2018/06/06 by Samuel J. Peter, S. J. Peter, A. Siviglia +11 · 2 citations
Engineering · Environmental Science · #Dam Engineering and Safety #Flood Risk Assessment and Management #Hydraulic flow and structures
- Sequential active learning of low-dimensional model representations for reliability analysis
2021/06/08 by Max Ehre, Iason Papaioannou, Ehre, Max +5 · 2 citations
Chemistry · Decision Sciences · #Computation (stat.CO) #FOS: Computer and information sciences #Mass Spectrometry Techniques and Applications #Probabilistic and Robust Engineering Design
- Uncertainty-aware multi-fidelity surrogate modeling with noisy data
2024/01/12 by Katerina Giannoukou, Giannoukou, Katerina, Stefano Marelli +3 · 2 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design
- Global sensitivity analysis using low-rank tensor approximations
2016/05/29 by Katerina Konakli, Konakli, K., Bruno Sudret +1 · 1 citation
Decision Sciences · Engineering · #Computation (stat.CO) #Elasticity and Material Modeling #FOS: Computer and information sciences #Fatigue and fracture mechanics #Probabilistic and Robust Engineering Design
- Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions
2019/11/20 by Xiao Zhu, Zhu, X., Bruno Sudret +1 · 2 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design #Simulation Techniques and Applications