| Design of Communication Systems using Deep Learning: A Variational Inference Perspective | Apr 18, 2019 | DecoderVariational Inference | CodeCode Available | 0 | 5 |
| Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference | Oct 31, 2020 | Graph EmbeddingLink Prediction | CodeCode Available | 0 | 5 |
| Dep-L_0: Improving L_0-based Network Sparsification via Dependency Modeling | Jun 30, 2021 | Network PruningVariational Inference | CodeCode Available | 0 | 5 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 | 5 |
| Bayesian Nonlinear Support Vector Machines for Big Data | Jul 18, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Distributional Bayesian optimisation for variational inference on black-box simulators | Oct 16, 2019 | Bayesian OptimisationVariational Inference | CodeCode Available | 0 | 5 |
| Improved Variational Bayesian Phylogenetic Inference using Mixtures | Oct 2, 2023 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning | Dec 5, 2024 | Computational EfficiencyDeep Learning | CodeCode Available | 0 | 5 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms | Nov 8, 2018 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 | 5 |
