| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Embrace the Gap: VAEs Perform Independent Mechanism Analysis | Jun 6, 2022 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching | Dec 27, 2023 | Variational Inference | 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 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 | 5 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent | Feb 2, 2024 | Variational Inference | CodeCode Available | 1 | 5 |
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | Aug 1, 2024 | Graph Representation LearningRepresentation Learning | CodeCode Available | 1 | 5 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 | 5 |
| Fast Variational Learning in State-Space Gaussian Process Models | Jul 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach | Feb 8, 2023 | Distributed OptimizationFederated Learning | CodeCode Available | 1 | 5 |
| Deep Conditional Gaussian Mixture Model for Constrained Clustering | Jun 11, 2021 | ClusteringConstrained Clustering | CodeCode Available | 1 | 5 |
| Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid | Dec 8, 2021 | Image InpaintingVariational Inference | CodeCode Available | 1 | 5 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Gaussian Processes for Missing Value Imputation | Apr 10, 2022 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| GFlowNet-EM for learning compositional latent variable models | Feb 13, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Gradient Boosted Normalizing Flows | Feb 27, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| A practical tutorial on Variational Bayes | Mar 1, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | Aug 8, 2022 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional | Jan 31, 2021 | Variational Inference | CodeCode Available | 1 | 5 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 | 5 |
| Deep Stochastic Volatility Model | Feb 25, 2021 | modelVariational Inference | CodeCode Available | 1 | 5 |
| Interactive Segmentation as Gaussian Process Classification | Feb 28, 2023 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
| A Probabilistic Formulation of Unsupervised Text Style Transfer | Feb 10, 2020 | DeciphermentLanguage Modelling | CodeCode Available | 1 | 5 |
| A Probabilistic Framework for Visual Localization in Ambiguous Scenes | Jan 5, 2023 | Variational InferenceVisual Localization | CodeCode Available | 1 | 5 |
| Beyond Opinion Mining: Summarizing Opinions of Customer Reviews | Jun 3, 2022 | Opinion MiningOpinion Summarization | CodeCode Available | 1 | 5 |
| Latent Variable Modelling with Hyperbolic Normalizing Flows | Feb 15, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling | Jun 11, 2024 | Decision MakingVariational Inference | CodeCode Available | 1 | 5 |
| Learning a Structural Causal Model for Intuition Reasoning in Conversation | May 28, 2023 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 | 5 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 | 5 |
| Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech | Jan 1, 2021 | text-to-speechText to Speech | CodeCode Available | 1 | 5 |
| Learning Sparse Prototypes for Text Generation | Jun 29, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Bit Allocation using Optimization | Sep 20, 2022 | Variational InferenceVideo Compression | CodeCode Available | 1 | 5 |
| LINFA: a Python library for variational inference with normalizing flow and annealing | Jul 10, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints | Sep 27, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Active Inference | Oct 11, 2018 | Variational Inference | CodeCode Available | 1 | 5 |
| Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders | Apr 25, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Can Transformers Learn Full Bayesian Inference in Context? | Jan 28, 2025 | Bayesian InferenceIn-Context Learning | CodeCode Available | 1 | 5 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 | 5 |
| Counterfactual Generative Modeling with Variational Causal Inference | Oct 16, 2024 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows | Aug 11, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Neural Variational Gradient Descent | Jul 22, 2021 | Bayesian Inferenceregression | CodeCode Available | 1 | 5 |
| Deep Causal Reasoning for Recommendations | Jan 6, 2022 | Recommendation SystemsVariational Inference | CodeCode Available | 1 | 5 |
| not-MIWAE: Deep Generative Modelling with Missing not at Random Data | Jun 23, 2020 | Missing ValuesVariational Inference | CodeCode Available | 1 | 5 |
| Accurate Node Feature Estimation with Structured Variational Graph Autoencoder | Jun 9, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Structural Causal Models for Tractable Counterfactual Inference | Jun 11, 2020 | counterfactualCounterfactual Inference | CodeCode Available | 1 | 5 |
