All Stories

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