| Gradient Boosted Normalizing Flows | Feb 27, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference | Sep 30, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Zero-inflation in the Multivariate Poisson Lognormal Family | May 23, 2024 | Variational Inference | CodeCode Available | 1 | 5 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Learning Stochastic Recurrent Networks | Nov 27, 2014 | Variational Inference | CodeCode Available | 1 | 5 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 | 5 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Convergence of Sparse Variational Inference in Gaussian Processes Regression | Aug 1, 2020 | Gaussian Processesregression | CodeCode Available | 1 | 5 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 | 5 |
| Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior | Sep 5, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 | 5 |
| Robust Variational Contrastive Learning for Partially View-unaligned Clustering | Oct 28, 2024 | ClusteringContrastive Learning | CodeCode Available | 1 | 5 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 | 5 |
| Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination | Oct 17, 2020 | Model CompressionTensor Decomposition | CodeCode Available | 1 | 5 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 | 5 |
| A Variational Time Series Feature Extractor for Action Prediction | Jul 6, 2018 | Action RecognitionPrediction | CodeCode Available | 0 | 5 |
| Joint control variate for faster black-box variational inference | Oct 13, 2022 | Stochastic OptimizationVariational 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 |
| Distributed Variational Inference for Online Supervised Learning | Sep 5, 2023 | Binary ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Learning to infer in recurrent biological networks | Jun 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| A Variational Edge Partition Model for Supervised Graph Representation Learning | Feb 7, 2022 | ClassificationGraph Representation Learning | CodeCode Available | 0 | 5 |
| A Contrastive Divergence for Combining Variational Inference and MCMC | May 10, 2019 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 | 5 |
