Showing 1–20 of 63 results
/ Date/ Name
Jul 17, 2019Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samplesDec 5, 2021Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modeling with Gaussian process regressionApr 22, 2020Bayesian Optimization with Output-Weighted Optimal SamplingDec 1, 2021Output-weighted and relative entropy loss functions for deep learning precursors of extreme eventsApr 13, 2021Learning Optimal Parametric Hydrodynamic Database for Vortex-Induced Crossflow Vibration PredictionAug 15, 2018Strong solutions for the Alber equation and stability of unidirectional wave spectraFeb 19, 2021Output-Weighted Sampling for Multi-Armed Bandits with Extreme PayoffsJan 13, 2021Anisotropic Particles Focusing Effect in Complex FlowsApr 4, 2023Statistics of extreme events in coarse-scale climate simulations via machine learning correction operators trained on nudged datasetsSep 13, 2015A minimization principle for the description of time-dependent modes associated with transient instabilitiesFeb 28, 2024A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statisticsAug 20, 2019Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statisticsAug 21, 2025GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate ExtremesAug 2, 2024A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training dataFeb 28, 2024Sampling low-fidelity outputs for estimation of high-fidelity density and its tailsOct 1, 2024Learning Dissipative Chaotic Dynamics with Boundedness GuaranteesFeb 11, 2019Surface waves enhance particle dispersionMar 13, 2023Harnessing the instability mechanisms in airfoil flow for the data-driven forecasting of extreme eventsOct 21, 2022A Multi-Scale Deep Learning Framework for Projecting Weather ExtremesMay 20, 2020Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring