| Distributionally Robust Parametric Maximum Likelihood Estimation | Oct 11, 2020 | 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 |
| Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels | Jul 1, 2024 | parameter estimation | 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 |
| DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks | Oct 2, 2018 | parameter estimation | CodeCode Available | 0 | 5 |
| DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning | Apr 8, 2018 | Denoisingparameter estimation | CodeCode Available | 0 | 5 |
| Deep Global Generalized Gaussian Networks | Jun 1, 2019 | parameter estimationRolling Shutter Correction | 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 |
| Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signaling | Jul 25, 2021 | Computational EfficiencyNumerical Integration | CodeCode Available | 0 | 5 |
| Data-driven modeling and parameter estimation of Nonlinear systems | May 31, 2023 | parameter estimation | CodeCode Available | 0 | 5 |
