| Tensor Moments of Gaussian Mixture Models: Theory and Applications | Feb 14, 2022 | parameter estimationTensor Decomposition | CodeCode Available | 0 |
| Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems | Feb 26, 2024 | parameter estimationState Estimation | CodeCode Available | 0 |
| EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data | Sep 23, 2020 | Imputationparameter estimation | CodeCode Available | 0 |
| Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks | Dec 16, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| Predicting the genetic component of gene expression using gene regulatory networks | Aug 16, 2024 | parameter estimationPrediction | CodeCode Available | 0 |
| Improving Neural Network Robustness via Persistency of Excitation | Jun 3, 2021 | Adversarial Robustnessparameter estimation | CodeCode Available | 0 |
| DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks | Oct 2, 2018 | parameter estimation | CodeCode Available | 0 |
| An integrated perspective of robustness in regression through the lens of the bias-variance trade-off | Jul 15, 2024 | parameter estimationregression | CodeCode Available | 0 |
| A Mixture of Matrix Variate Bilinear Factor Analyzers | Dec 22, 2017 | ClusteringDimensionality Reduction | CodeCode Available | 0 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 |
