| Bernstein Flows for Flexible Posteriors in Variational Bayes | Feb 11, 2022 | Variational Inference | CodeCode Available | 0 |
| Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 |
| Variational Metric Scaling for Metric-Based Meta-Learning | Dec 26, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks | Nov 2, 2021 | Survival AnalysisSurvival Prediction | CodeCode Available | 0 |
| Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory | Sep 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Interpolating between sampling and variational inference with infinite stochastic mixtures | Oct 18, 2021 | Variational Inference | CodeCode Available | 0 |
| Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection | Jul 15, 2025 | feature selectionUncertainty Quantification | CodeCode Available | 0 |
| Probabilistic task modelling for meta-learning | Jun 9, 2021 | Meta-Learningparameter estimation | CodeCode Available | 0 |
| Probabilistic Tensor Decomposition of Neural Population Spiking Activity | Dec 1, 2021 | AnatomyTensor Decomposition | CodeCode Available | 0 |
| Benchmarking and optimizing organism wide single-cell RNA alignment methods | Mar 26, 2025 | BenchmarkingDecoder | CodeCode Available | 0 |
