| Dirichlet Pruning for Neural Network Compression | Nov 10, 2020 | Neural Network CompressionVariational Inference | CodeCode Available | 0 | 5 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 | 5 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 | 5 |
| GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies | Jul 7, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors | Jul 9, 2021 | Objectobject-detection | CodeCode Available | 0 | 5 |
| High Dimensional Causal Inference with Variational Backdoor Adjustment | Oct 9, 2023 | Causal InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Bayesian Inference Forgetting | Jan 16, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning | Oct 6, 2022 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Design of Communication Systems using Deep Learning: A Variational Inference Perspective | Apr 18, 2019 | DecoderVariational Inference | CodeCode Available | 0 | 5 |
