| Variational Message Passing with Structured Inference Networks | Mar 15, 2018 | Variational Inference | CodeCode Available | 0 |
| DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora | Nov 3, 2018 | Variational Inference | CodeCode Available | 0 |
| A deep generative model for gene expression profiles from single-cell RNA sequencing | Sep 7, 2017 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Bidirectional Convolutional Poisson Gamma Dynamical Systems | Dec 1, 2020 | Bayesian InferenceSentence | CodeCode Available | 0 |
| Information Dropout: Learning Optimal Representations Through Noisy Computation | Nov 4, 2016 | Representation LearningVariational Inference | CodeCode Available | 0 |
| Understanding Variational Inference in Function-Space | Nov 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Probabilistic Discriminative Learning with Layered Graphical Models | Jan 31, 2019 | General Classificationimage-classification | CodeCode Available | 0 |
| uniblock: Scoring and Filtering Corpus with Unicode Block Information | Aug 26, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Variational methods for simulation-based inference | Mar 8, 2022 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition | May 28, 2019 | Audio ClassificationBayesian Inference | CodeCode Available | 0 |
| Input-gradient space particle inference for neural network ensembles | Jun 5, 2023 | DiversityEnsemble Learning | CodeCode Available | 0 |
| Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference | Dec 7, 2020 | Bayesian InferenceCollaborative Filtering | CodeCode Available | 0 |
| Stochastic gradient variational Bayes for gamma approximating distributions | Sep 4, 2015 | Variational Inference | CodeCode Available | 0 |
| Probabilistic Models with Deep Neural Networks | Aug 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Stochastic Graph Recurrent Neural Network | Sep 1, 2020 | Representation LearningVariational Inference | CodeCode Available | 0 |
| 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 |
