| Encoding large information structures in linear algebra and statistical models | Jan 15, 2022 | Dimensionality Reductionparameter estimation | CodeCode Available | 0 |
| Fast covariance parameter estimation of spatial Gaussian process models using neural networks | Dec 30, 2020 | DescriptiveGaussian Processes | CodeCode Available | 0 |
| Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods | May 8, 2023 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Data-driven modeling and parameter estimation of Nonlinear systems | May 31, 2023 | parameter estimation | CodeCode Available | 0 |
| Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design | Mar 14, 2022 | Experimental Designparameter estimation | CodeCode Available | 0 |
| Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach | Aug 23, 2023 | Diagnosticparameter estimation | CodeCode Available | 0 |
| Fast L1-NMF for Multiple Parametric Model Estimation | Oct 18, 2016 | modelparameter estimation | CodeCode Available | 0 |
| Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling | Dec 31, 2021 | Discrete Choice Modelsparameter estimation | CodeCode Available | 0 |
| Category-Level Articulated Object Pose Estimation | Dec 26, 2019 | Objectparameter estimation | CodeCode Available | 0 |
| Learning Bayesian posteriors with neural networks for gravitational-wave inference | Sep 12, 2019 | AstronomyBayesian Inference | CodeCode Available | 0 |
