| Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank | Jul 2, 2020 | parameter estimation | CodeCode Available | 1 |
| Prior choice affects ability of Bayesian neural networks to identify unknowns | May 11, 2020 | parameter estimation | CodeCode Available | 1 |
| Physics-Informed Neural Networks for Non-linear System Identification for Power System Dynamics | Apr 8, 2020 | parameter estimation | CodeCode Available | 1 |
| A Graduated Filter Method for Large Scale Robust Estimation | Mar 20, 2020 | parameter estimation | CodeCode Available | 1 |
| BayesFlow: Learning complex stochastic models with invertible neural networks | Mar 13, 2020 | Bayesian InferenceEpidemiology | CodeCode Available | 1 |
| Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting | Feb 24, 2020 | parameter estimationTwo-sample testing | CodeCode Available | 1 |
| Manifold Mixup improves text recognition with CTC loss | Mar 11, 2019 | Data AugmentationGeneral Classification | CodeCode Available | 1 |
| Enhancing Discrete Choice Models with Representation Learning | Dec 23, 2018 | Discrete Choice Modelsparameter estimation | CodeCode Available | 1 |
| Analyzing Federated Learning through an Adversarial Lens | Nov 29, 2018 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Variational Noise-Contrastive Estimation | Oct 18, 2018 | parameter estimationVariational Inference | CodeCode Available | 1 |
