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359 matches · Probabilistic and Robust Engineering Design

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001A hybrid forecasting and fuzzy comprehensive evaluation approach for graded early warning of experimental task frequencyOpenAlexPaperNingna Sun, Danni Zhu7 days ago
002A Finite-Dimensional Bounded-Perturbation CertificateOpenAlexPaperTamás NagyJul 20
003A Finite-Dimensional Bounded-Perturbation CertificateOpenAlexPaperTamás NagyJul 20
004Deep Kernel Bayesian Optimization for the design of stepped composite repairs under compressionOpenAlexPaperGiannis Stamatelatos, Emilien Billaudeau et al.Jul 16
005Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEsOpenAlexPaperJiale Linghu, Yangshuai WangJul 15
006Ensemble Extreme Learning Machines for Uncertainty Quantification in Ordinary Differential EquationsOpenAlexPaperSajad Ahmad Sheikh, Lateef Ahmad WaniJul 14
007Dual-Domain Probability Valuation: A Proposed Mathematical Framework for Standard and Hypothetical EventsOpenAlexPaperSagar VermaJul 13
008Detecting When One Probe Vector is Enough for Preconditioned Log‐Determinant ApproximationOpenAlexPaperAlice Cortinovis, Daniele ToniJul 2
009Gaussian process and active subspace recipe for parsimonious metamodelingOpenAlexPaperAmandine Marrel, Bertrand IoossJun 24
010Sparse Simulation of Autoregressive Gaussian ProcessesOpenAlexPaperTadej Krivec, Juš KocijanJun 13
011Bayesian calibration and sensitivity analysis of crystal plasticity models using Gaussian process surrogatesOpenAlexPaperSamuel Engel, Pratheek Shanthraj et al.Jun 11
012Estimating Evolving Functions with Dynamic Gaussian ProcessesOpenAlexPaperJ. S. van Hulst, W. P. M. H. Heemels et al.Jun 4
013Bayesian model updating with controlled Gaussian process predictive uncertaintyOpenAlexPaperMarcos A. Valdebenito, Chao Dang et al.Jun 1
014Confidence intervals for rate estimation with importance sampling in autonomous vehicle evaluationOpenAlexPaperAiyou Chen, Ruixuan Zhou et al.Jun 1
015Multivariate design storms using vine copulas and Gaussian process regressionOpenAlexPaperDiego Armando Urrea Méndez, Dina Vanessa Gomez Rave et al.May 30
016Implementation Aspects of a Single-Layer LSBDL ModelOpenAlexPaperAlireza Amiri-Simkooei, F. Sabzehee et al.May 29
017Random Fourier Features Based Gaussian Process Models for Computer Experiments with Quantitative and Qualitative InputsOpenAlexPaperKessys Oliveira, Peter ChienMay 29
018Active learning strategy for excursion-set confidence regions of functional simulator outputsOpenAlexPaperLucas Brunel, Mathieu Balesdent et al.May 18
019Explainable modeling of lane-changing risk assessment incorporating driving-behavior uncertaintyOpenAlexPaperWenbin Yao, Xin Yang et al.May 15
020Bayesian estimation of subordinated Poisson processesOpenAlexPaperJayant Jha, Neelesh S. Upadhye et al.Apr 23
021Bayesian estimation of subordinated Poisson processesOpenAlexPaperJayant Jha, Neelesh S. Upadhye et al.Apr 23
022Additional file 1 of Benchmarking the performance of uncertainty quantification methods for neural network-based interatomic potentialsOpenAlexPaperNicholas T. Wimer, Juliane Mueller et al.Apr 13
023Additional file 1 of Benchmarking the performance of uncertainty quantification methods for neural network-based interatomic potentialsOpenAlexPaperNicholas T. Wimer, Juliane Mueller et al.Apr 13
024On Matérn Covariance and Gaussian Markov Random Fields: A Spectral AnalysisOpenAlexPaperPatrick E. Brown, Jamie StaffordApr 8
025High-order shape functions-based KL expansion for discretizing irregular and multi-dimensional random fieldsOpenAlexPaperZhihao Jiang, Xiaohui Tan et al.Apr 6
026Divergence-free Linearized Neural Networks: Integral Representation and Optimal Approximation RatesOpenAlexPaperJuncai He, Xinliang Liu et al.Mar 30
027Bayesian inference for ordinary differential equations models with heteroscedastic measurement errorOpenAlexPaperSalimi, Selva, Warne, David J. et al.Mar 23
028Numerical approximation of McKean–Vlasov SDEs via stochastic gradient descentOpenAlexPaperAnkush Agarwal, Andrea Amato et al.Mar 23
029Kernel Density Estimation Under Uncertainty Using a Generalized-Interval Valued Method: Applications to Training and Testing Models with Dew Point DataOpenAlexPaperMuhammad AslamMar 21
030Surrogate-Guided Adaptive Importance Sampling for Failure Probability EstimationOpenAlexPaperRenganathan, Ashwin, Booth, Annie S.Mar 21
031Code and Data Repository for Function-on-Function Gaussian Process with Application in Robust Parameter DesignOpenAlexPaperJingru Huang, H T Xu et al.Mar 20
032Robustness Optimization of System Performance with Non-Independent Uncertain Parameters Based on Gaussian Process RegressionOpenAlexPaperJie WuMar 20
033Reliability Assessment of Deep Neural Networks and Accelerators Across Design StagesOpenAlexPaperMohammad Hasan Ahmadilivani, Natalia Cherezova et al.Mar 17
034Spatially correlated multi-state fragility via a warped Gaussian processOpenAlexPaperAbdullah M. Braik, Maria KoliouMar 14
035Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian SplattingOpenAlexPaperZeji Hui, Amirali Khodadadian Gostar et al.Mar 6
036Accounting for Nuisance Trends Using Gaussian Processes in Dynamic Structural Equation ModelingOpenAlexPaperReginald Ziedzor, Jennifer KoranMar 5
037Bayesian approaches to measurement and optimizationOpenAlexPaperA. Döpp, Jakob SchröderMar 4
038Error Analysis of Parameter Prediction via Gaussian Process Regression and Its Application to Weighted Jacobi IterationOpenAlexPaperTiantian Sun, Juan ZhangFeb 26
039Stability Feedback as a Robustness Mechanism: Cross-Regime Validation via Monte Carlo Neural TrainingOpenAlexPaperKing QuantumFeb 26
040Stability Feedback as a Robustness Mechanism: Cross-Regime Validation via Monte Carlo Neural TrainingOpenAlexPaperKing QuantumFeb 26
041Toward Reliable Probabilistic Robustness: A Nonconservative Uncertainty Bound for Gaussian Processes With Applications to Constrained Motion ControlOpenAlexPaperJiacheng Li, Qingchen Liu et al.Feb 24
042Lengthscale-informed sparse grids for kernel methods in high dimensionsOpenAlexPaperElliot J. Addy, Jonas Latz et al.Feb 20
043Discontinuity-capturing random feature method for interface problemsOpenAlexPaperWentian Song, Xurong Chi et al.Feb 17
044Estimation of log-Gaussian gamma processes with iterated posterior linearization and Hamiltonian Monte CarloOpenAlexPaperTeemu Härkönen, Simo SärkkäFeb 7
045A Perturbation-Correction Method Based on Local Randomized Neural Networks for Quasi-Linear Interface ProblemsOpenAlexPaperSiyuan Lang, Zhiyue ZhangFeb 5
046An active learning Bayesian network classifier for efficient structural reliability analysisOpenAlexPaperYanbing Tang, Tengfei Gao et al.Jan 22
047Detecting when one probe vector is enough for preconditioned log-determinant approximationOpenAlexPaperAlice Cortinovis, Daniele ToniJan 9
048Sampling methods for probabilistic approximations of ODEsOpenAlexPaperOlivier Bouët-Willaumez, Adrien Le Coënt et al.Jan 5
049A new mini-batch negative momentum proximal stochastic variance reduction method for nonconvex optimizationOpenAlexPaperWeihao Cui, Chongyang He et al.Jan 1
050AN ADAPTIVE MULTIPLE RESPONSE GAUSSIAN PROCESS FOR RELIABILITY ANALYSIS OF MULTI-OUTPUT SYSTEMSOpenAlexPaperHaowen Zhu, Ruihao Chen et al.Jan 1
051Bayesian Posterior Perturbation Analysis with Integral Probability MetricsOpenAlexPaperAlfredo Garbuno-Iñigo, Tapio Helin et al.Jan 1
052Bayesian system dynamics for dynamic risk management and reliability-oriented resource performance in sustainable environmental systemsOpenAlexPaperShanshan LiJan 1
053Choosing the Right ArchitectureOpenAlexPaperIrena CroninJan 1
054Efficient Structural Reliability Analysis via Adaptive Hidden Neuron Screening in Extreme Learning MachinesOpenAlexPaperYunlong Teng, Ying Liu et al.Jan 1
055Mean-Square Convergence of a New Parameterized Leapfrog Scheme for Hamiltonian Systems Driven by Gaussian Process PotentialsOpenAlexPaperSourabh BhattacharyaJan 1
056Spatial Interpolation of Ground Motion Intensity Measures Based on Two-Step Gaussian Process RegressionOpenAlexPaperKeigo Tsukioka, Naoyasu Iwata et al.Jan 1
057PHYSICS-GUIDED GAUSSIAN PROCESS REGRESSION FOR FATIGUE DAMAGE ACCUMULATIONOpenAlexPaperDanylo Krasii, Oleksiy LarinDec 29, 2025
058ФІЗИЧНО-КЕРОВАНА РЕГРЕСІЯ НА ОСНОВІ ГАУСІВСЬКИХ ПРОЦЕСІВ ДЛЯ МОДЕЛЮВАННЯ НАКОПИЧЕННЯ ВТОМНОГО ПОШКОДЖЕННЯOpenAlexPaperДанило Красій, Олексій Олександрович ЛарінDec 29, 2025
059Skew-symmetric approximations of posterior distributionsOpenAlexPaperFrancesco Pozza, Daniele Durante et al.Dec 19, 2025
060On the Local Structure and Approximation Stability of Block Isotropic Gaussian FieldsOpenAlexPaperJeong, Munki, Strang, AlexanderDec 16, 2025

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