All Stories

  1. A Multi-Fidelity Approach to Distribution Estimation Applied to Aerospace Applications
  2. Improving the Efficiency of Multi-Fidelity Approaches for Transfer Learning With Application to Hall Thrusters
  3. Bayesian Calibration of a Multi-Component Model of the SPT-140 Hall Thruster
  4. Factorization-Based Online Variational Inference for State-Parameter Estimation of Partially Observable Nonlinear Dynamical Systems
  5. Multi-Fidelity Bayesian Networks for Transfer Learning in Modular Systems
  6. Simulation of Vacuum Chamber Pressure Distribution with Surrogate Modeling and Uncertainty Quantification
  7. A Bi-fidelity Strategy for Optimization under Uncertainty with Applications to Aircraft Trajectory Optimization
  8. Optimal Experimental Design for Inferring Anomalous Electron Transport in a Hall Thruster
  9. Quantifying Uncertainty in the Scaling Laws of Porous Electrospray Emitters
  10. A Simulated Wind-field Dataset for Testing Energy Efficient Path-Planning Algorithms for UAVs in Urban Environment
  11. Recent advancements in Multilevel-Multifidelity techniques for forward UQ in the DARPA Sequoia project
  12. High-dimensional stochastic optimal control using continuous tensor decompositions
  13. System Identification via CUR-Factored Hankel Approximation
  14. Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems
  15. Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions
  16. Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation
  17. Efficient Localization of Discontinuities in Complex Computational Simulations