| On the optimization and pruning for Bayesian deep learning | Oct 24, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Variational Deep Semantic Hashing for Text Documents | Aug 11, 2017 | Image RetrievalInformation Retrieval | CodeCode Available | 0 |
| Flexible Tails for Normalizing Flows | Jun 22, 2024 | Density EstimationVariational Inference | CodeCode Available | 0 |
| TrajPRed: Trajectory Prediction with Region-based Relation Learning | Apr 10, 2024 | Future predictionPrediction | CodeCode Available | 0 |
| Projective Integral Updates for High-Dimensional Variational Inference | Jan 20, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference | Aug 22, 2022 | Variational Inference | CodeCode Available | 0 |
| Transformation Models for Flexible Posteriors in Variational Bayes | Jun 1, 2021 | Variational Inference | CodeCode Available | 0 |
| On the Relationship Between Variational Inference and Auto-Associative Memory | Oct 14, 2022 | RetrievalVariational Inference | CodeCode Available | 0 |
| Censor Dependent Variational Inference | Feb 13, 2025 | Survival AnalysisVariational Inference | CodeCode Available | 0 |
| SoftCVI: Contrastive variational inference with self-generated soft labels | Jul 22, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport | Feb 3, 2022 | Variational Inference | CodeCode Available | 0 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 |
| Importance Weighted Hierarchical Variational Inference | May 8, 2019 | Variational Inference | CodeCode Available | 0 |
| Sparse Algorithms for Markovian Gaussian Processes | Mar 19, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 |
| Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning | Jun 6, 2024 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Sparse Bayesian Generative Modeling for Compressive Sensing | Nov 14, 2024 | Compressive SensingUncertainty Quantification | CodeCode Available | 0 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 |
| Design of Communication Systems using Deep Learning: A Variational Inference Perspective | Apr 18, 2019 | DecoderVariational Inference | CodeCode Available | 0 |
| An Efficient Difference-of-Convex Solver for Privacy Funnel | Mar 2, 2024 | Variational Inference | CodeCode Available | 0 |
| Variational Inference for Sparse Gaussian Process Modulated Hawkes Process | May 25, 2019 | Model OptimizationModel Selection | CodeCode Available | 0 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 |
| Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem | Apr 16, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
