| ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems | May 8, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Amortized Population Gibbs Samplers with Neural Sufficient Statistics | Nov 4, 2019 | Variational Inference | CodeCode Available | 0 |
| Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning | Jul 1, 2019 | Continual LearningVariational Inference | CodeCode Available | 0 |
| Streaming Variational Monte Carlo | Jun 4, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Convolutional Normalizing Flows | Nov 7, 2017 | Variational Inference | CodeCode Available | 0 |
| Random Feature Expansions for Deep Gaussian Processes | Oct 14, 2016 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Random Function Priors for Correlation Modeling | May 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Bayesian posterior approximation with stochastic ensembles | Dec 15, 2022 | Bayesian Inferenceimage-classification | CodeCode Available | 0 |
| Addressing Catastrophic Forgetting in Few-Shot Problems | Apr 30, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Structured Recognition for Generative Models with Explaining Away | Sep 12, 2022 | Density EstimationHippocampus | CodeCode Available | 0 |
| Rapid Model Comparison by Amortizing Across Models | Oct 16, 2019 | modelTopic Models | CodeCode Available | 0 |
| Streamlining Variational Inference for Constraint Satisfaction Problems | Nov 24, 2018 | SurveyVariational Inference | CodeCode Available | 0 |
| Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach | Jan 30, 2024 | Activity DetectionVariational Inference | CodeCode Available | 0 |
| Continual Multi-task Gaussian Processes | Oct 31, 2019 | Bayesian InferenceContinual Learning | CodeCode Available | 0 |
| Context Selection for Embedding Models | Dec 1, 2017 | Recommendation SystemsVariational Inference | CodeCode Available | 0 |
| Structured Cooperative Learning with Graphical Model Priors | Jun 16, 2023 | modelStochastic Block Model | CodeCode Available | 0 |
| VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling | Oct 7, 2020 | Variational InferenceWord Embeddings | CodeCode Available | 0 |
| Reconstructing continuous distributions of 3D protein structure from cryo-EM images | Sep 11, 2019 | 3D Volumetric ReconstructionClustering | CodeCode Available | 0 |
| Learning Discrete State Abstractions With Deep Variational Inference | Mar 9, 2020 | Decision MakingMulti-Goal Reinforcement Learning | CodeCode Available | 0 |
| Weight Pruning and Uncertainty in Radio Galaxy Classification | Nov 23, 2021 | ClassificationData Augmentation | CodeCode Available | 0 |
| Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility | Jun 9, 2020 | Variational Inference | CodeCode Available | 0 |
| A Spectral Approach to Gradient Estimation for Implicit Distributions | Jun 7, 2018 | Variational Inference | CodeCode Available | 0 |
| Bayesian Nonparametrics for Offline Skill Discovery | Feb 9, 2022 | Imitation Learningreinforcement-learning | CodeCode Available | 0 |
| Amortised Inference in Bayesian Neural Networks | Sep 6, 2023 | Meta-LearningVariational Inference | CodeCode Available | 0 |
| Structured Stochastic Gradient MCMC | Jul 19, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
