| Mixture Density Network Estimation of Continuous Variable Maximum Likelihood Using Discrete Training Samples | Mar 24, 2021 | parameter estimation | CodeCode Available | 0 |
| Dynamic Survival Analysis for non-Markovian Epidemic Models | Feb 21, 2022 | parameter estimationSurvival Analysis | CodeCode Available | 0 |
| Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation | Nov 7, 2024 | Natural Language Understandingparameter-efficient fine-tuning | CodeCode Available | 0 |
| Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space Models | Aug 25, 2022 | ClusteringModel Selection | CodeCode Available | 0 |
| Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems | May 21, 2019 | parameter estimationSpeech Synthesis | CodeCode Available | 0 |
| On the automatic annotation of gene functions using observational data and phylogenetic trees | May 14, 2020 | parameter estimation | CodeCode Available | 0 |
| On the challenges of learning with inference networks on sparse, high-dimensional data | Oct 17, 2017 | parameter estimationVariational Inference | CodeCode Available | 0 |
| Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems | Jul 30, 2021 | BIG-bench Machine Learningparameter estimation | CodeCode Available | 0 |
| Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data | Jan 13, 2023 | counterfactualparameter estimation | CodeCode Available | 0 |
| Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport | Dec 6, 2019 | parameter estimationState Estimation | CodeCode Available | 0 |
