B. Sudret
- Polynomial-Chaos-based Kriging
2015/02/13 by R. Schoebi, Schoebi, R., B. Sudret +5 · 6 citations
Computer Science · Decision Sciences · Mathematics · #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 #stat.CO #stat.ME #stat.ML
- Metamodel-based importance sampling for structural reliability analysis
2011/05/03 by Vincent Dubourg, V. Dubourg, Dubourg, V. +6 · 6 citations
Computer Science · Decision Sciences · Engineering · Mathematics · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Structural Response to Dynamic Loads #stat.ME #stat.ML
- Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions
2019/11/20 by Xiao Zhu, X. Zhu, Bruno Sudret +3 · 5 citations
Computer Science · Decision Sciences · Mathematics · #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 #stat.CO #stat.ML
- Quantile-based optimization under uncertainties using adaptive Kriging surrogate models
2016/05/29 by Maliki Moustapha, M. Moustapha, B. Sudret +9 · 3 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design #stat.CO
- Development of probabilistic dam breach model using Bayesian inference
2018/06/13 by S. J. Peter, Peter, S. J., A. Siviglia +11 · 2 citations
Mathematics · Physics and Astronomy · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #physics.geo-ph #stat.AP #stat.CO
- Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models
2020/05/31 by X. Zhu, B. Sudret · 2 citations
Mathematics · #stat.CO #stat.ME #stat.ML
- Emulation of stochastic simulators using generalized lambda models
2020/07/31 by X. Zhu, B. Sudret · 2 citations
Mathematics · #stat.CO #stat.ME
- Stochastic spectral embedding
2020/04/09 by Stefano Marelli, S. Marelli, Paul‐Remo Wagner +9 · 2 citations
Computer Science · Decision Sciences · Mathematics · 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 #stat.CO #stat.ME #stat.ML
- 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 · Mathematics · #Algorithm #Bayesian inference #Bayesian probability #Computer science #Dam Engineering and Safety #Dam failure #Environmental science #Flood Risk Assessment and Management #Flood myth #Geology #Geotechnical engineering #Hydraulic flow and structures #Hydrograph #Hydrology (agriculture) #Internal erosion #Levee #Markov chain Monte Carlo #Mathematics #Outflow #Probabilistic logic #Residual #Statistics #Uncertainty quantification
- Sparse polynomial chaos expansions of frequency response functions using stochastic frequency transformation
2016/06/06 by Vahid Yaghoubi, V. Yaghoubi, Stefano Marelli +9 · 2 citations
Decision Sciences · Engineering · Mathematics · #Computation (stat.CO) #Control Systems and Identification #FOS: Computer and information sciences #Probabilistic and Robust Engineering Design #Structural Health Monitoring Techniques #stat.CO
- Seismic fragility curves for structures using non-parametric representations
2017/04/12 by C. Mai, Mai, C., K. Konakli +3 · 1 citation
Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #stat.AP
- Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions
2017/05/29 by R. Schöbi, B. Sudret, Schöbi, R. +1 · 1 citation
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME) #stat.CO #stat.ME
- A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas
2017/09/25 by E. Torre, Torre, E., S. Marelli +5 · 1 citation
Mathematics · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME) #stat.AP #stat.CO #stat.ME
- Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach
2018/12/15 by C. Lataniotis, Christos Lataniotis, Lataniotis, C. +6 · 1 citation
Computer Science · Decision Sciences · Mathematics · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #cs.LG #stat.CO #stat.ME #stat.ML
- A two-level Kriging-based approach with active learning for solving time-variant risk optimization problems
2020/07/08 by H. M. Kroetz, M. Moustapha, A. T. Beck +1 · 2 citations
Mathematics · #stat.CO #stat.ME
- Global sensitivity analysis using low-rank tensor approximations
2016/05/29 by K. Konakli, Katerina Konakli, B. Sudret +3 · 1 citation
Decision Sciences · Engineering · Mathematics · #Computation (stat.CO) #Elasticity and Material Modeling #FOS: Computer and information sciences #Fatigue and fracture mechanics #Probabilistic and Robust Engineering Design #stat.CO