| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Deep Variational Implicit Processes | Jun 14, 2022 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification | Aug 6, 2020 | DisentanglementPerson Re-Identification | CodeCode Available | 0 | 5 |
| Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data | May 20, 2016 | State Space ModelsVariational Inference | CodeCode Available | 0 | 5 |
| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Approximate Message Passing for Bayesian Neural Networks | Jan 26, 2025 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks | Mar 19, 2023 | Bayesian InferenceHyperspectral Unmixing | CodeCode Available | 0 | 5 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
| Adaptive Robust Learning using Latent Bernoulli Variables | Dec 1, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Bayesian Semi-supervised Learning with Graph Gaussian Processes | Sep 12, 2018 | Active LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Dynamic Word Embeddings | Feb 27, 2017 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation | Feb 1, 2022 | Computational Efficiencyparameter estimation | CodeCode Available | 0 | 5 |
| Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables | Jun 11, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Easy Variational Inference for Categorical Models via an Independent Binary Approximation | May 31, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India | Dec 13, 2017 | BIG-bench Machine LearningVariational Inference | CodeCode Available | 0 | 5 |
| Effective Estimation of Deep Generative Language Models | Apr 17, 2019 | Bayesian OptimisationLanguage Modelling | CodeCode Available | 0 | 5 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization | Aug 2, 2017 | Abstractive Text SummarizationDecoder | CodeCode Available | 0 | 5 |
| A General Method for Amortizing Variational Filtering | Nov 13, 2018 | Inference OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| Flexible Tails for Normalizing Flows | Jun 22, 2024 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational 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 |
