| Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 |
| Correcting the Sub-optimal Bit Allocation | Sep 29, 2022 | Variational InferenceVideo Compression | —Unverified | 0 |
| Structured Optimal Variational Inference for Dynamic Latent Space Models | Sep 29, 2022 | Variational Inference | —Unverified | 0 |
| Compositional Score Modeling for Simulation-based Inference | Sep 28, 2022 | Variational Inference | CodeCode Available | 0 |
| Targeted Separation and Convergence with Kernel Discrepancies | Sep 26, 2022 | Variational Inference | —Unverified | 0 |
| A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models | Sep 23, 2022 | Variational Inference | CodeCode Available | 0 |
| Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks | Sep 23, 2022 | regressionVariational Inference | CodeCode Available | 0 |
| Differentially private partitioned variational inference | Sep 23, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Amortized Variational Inference: A Systematic Review | Sep 22, 2022 | Representation LearningVariational Inference | —Unverified | 0 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | Sep 18, 2022 | Bayesian InferenceClustering | —Unverified | 0 |
| On the detrimental effect of invariances in the likelihood for variational inference | Sep 15, 2022 | Variational Inference | —Unverified | 0 |
| Langevin Autoencoders for Learning Deep Latent Variable Models | Sep 15, 2022 | Image Generationvalid | CodeCode Available | 0 |
| Fair Inference for Discrete Latent Variable Models | Sep 15, 2022 | FairnessRepresentation Learning | —Unverified | 0 |
| Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs | Sep 14, 2022 | Data IntegrationDimensionality Reduction | CodeCode Available | 0 |
| Structured Recognition for Generative Models with Explaining Away | Sep 12, 2022 | Density EstimationHippocampus | CodeCode Available | 0 |
| CARE: Certifiably Robust Learning with Reasoning via Variational Inference | Sep 12, 2022 | Variational Inference | CodeCode Available | 0 |
| β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck | Sep 12, 2022 | DisentanglementVariational Inference | —Unverified | 0 |
| Revisiting Active Sets for Gaussian Process Decoders | Sep 10, 2022 | DecoderGaussian Processes | CodeCode Available | 0 |
| A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies | Sep 9, 2022 | parameter estimationTriplet | —Unverified | 0 |
| Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution | Sep 6, 2022 | Bayesian InferenceDensity Ratio Estimation | —Unverified | 0 |
| ProBoost: a Boosting Method for Probabilistic Classifiers | Sep 4, 2022 | SpecificityVariational Inference | —Unverified | 0 |
| Variational Inference for Model-Free and Model-Based Reinforcement Learning | Sep 4, 2022 | Bayesian InferenceBayesian Optimization | —Unverified | 0 |
| Learning Multiscale Non-stationary Causal Structures | Aug 31, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference | Aug 22, 2022 | Variational Inference | CodeCode Available | 0 |