| A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks | May 27, 2021 | Computational EfficiencyImage-to-Image Translation | CodeCode Available | 1 | 5 |
| A generative nonparametric Bayesian model for whole genomes | Dec 1, 2021 | Density Estimationmodel | CodeCode Available | 1 | 5 |
| BayesFlow: Learning complex stochastic models with invertible neural networks | Mar 13, 2020 | Bayesian InferenceEpidemiology | CodeCode Available | 1 | 5 |
| AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification | Sep 29, 2023 | parameter estimationregression | CodeCode Available | 1 | 5 |
| Bayesian optimized physics-informed neural network for estimating wave propagation velocities | Dec 21, 2023 | Bayesian Optimizationparameter estimation | CodeCode Available | 1 | 5 |
| Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity | Jul 3, 2024 | Image RegistrationMedical Image Registration | CodeCode Available | 1 | 5 |
| Analyzing Federated Learning through an Adversarial Lens | Nov 29, 2018 | Federated LearningModel Poisoning | CodeCode Available | 1 | 5 |
| BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations | Nov 8, 2024 | Bayesian InferenceDecision Making | CodeCode Available | 1 | 5 |
| Contemporary Symbolic Regression Methods and their Relative Performance | Jul 29, 2021 | Benchmarkingparameter estimation | CodeCode Available | 1 | 5 |
| An information field theory approach to Bayesian state and parameter estimation in dynamical systems | Jun 3, 2023 | parameter estimationState Estimation | CodeCode Available | 1 | 5 |
