| Differentiable Cloth Simulation for Inverse Problems | Dec 1, 2019 | parameter estimation | CodeCode Available | 0 | 5 |
| Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs | Aug 25, 2017 | parameter estimationProbabilistic Programming | CodeCode Available | 0 | 5 |
| Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA | May 8, 2015 | ClusteringMulti-Label Classification | CodeCode Available | 0 | 5 |
| Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations | Feb 19, 2024 | parameter estimation | CodeCode Available | 0 | 5 |
| Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs | Dec 13, 2023 | parameter estimationregression | CodeCode Available | 0 | 5 |
| Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up | May 6, 2024 | Bayesian InferenceHyperparameter Optimization | CodeCode Available | 0 | 5 |
| Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI | Feb 28, 2019 | parameter estimation | CodeCode Available | 0 | 5 |
| Deep Global Generalized Gaussian Networks | Jun 1, 2019 | parameter estimationRolling Shutter Correction | CodeCode Available | 0 | 5 |
| DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks | Oct 2, 2018 | parameter estimation | CodeCode Available | 0 | 5 |
| Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting | Oct 29, 2019 | parameter estimationSpatio-Temporal Forecasting | CodeCode Available | 0 | 5 |
