| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs | Mar 9, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification | Jan 2, 2019 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 | 5 |
| Bayesian Nonparametrics for Offline Skill Discovery | Feb 9, 2022 | Imitation Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Deep Variational Implicit Processes | Jun 14, 2022 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data | May 20, 2016 | State Space ModelsVariational Inference | CodeCode Available | 0 | 5 |
| Finding Convincing Arguments Using Scalable Bayesian Preference Learning | Jun 6, 2018 | Active LearningVariational Inference | CodeCode Available | 0 | 5 |
| Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning | Oct 6, 2022 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0 | Aug 23, 2023 | Benchmarkingregression | CodeCode Available | 0 | 5 |
