| Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models | Sep 30, 2022 | Multi-Task Learningparameter estimation | —Unverified | 0 | 0 |
| Unsupervised Parameter Estimation using Model-based Decoder | Nov 3, 2022 | Decodermodel | —Unverified | 0 | 0 |
| Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization | Feb 21, 2020 | parameter estimationState Estimation | —Unverified | 0 | 0 |
| Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications | Aug 9, 2017 | Model Selectionparameter estimation | —Unverified | 0 | 0 |
| Using MMD GANs to correct physics models and improve Bayesian parameter estimation | Jan 1, 2021 | parameter estimation | —Unverified | 0 | 0 |
| Utilizing remote sensing data in forest inventory sampling via Bayesian optimization | Sep 17, 2020 | Bayesian Optimizationparameter estimation | —Unverified | 0 | 0 |
| V2X Sidelink Positioning in FR1: From Ray-Tracing and Channel Estimation to Bayesian Tracking | Jun 25, 2024 | parameter estimationSuper-Resolution | —Unverified | 0 | 0 |
| V2X Sidelink Positioning in FR1: Scenarios, Algorithms, and Performance Evaluation | Oct 20, 2023 | parameter estimationTensor Decomposition | —Unverified | 0 | 0 |
| Value-oriented forecast reconciliation for renewables in electricity markets | Jan 27, 2025 | Decision Makingenergy trading | —Unverified | 0 | 0 |
| Variable selection for Gaussian process regression through a sparse projection | Aug 25, 2020 | parameter estimationregression | —Unverified | 0 | 0 |
