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| Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach | May 26, 2023 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 | 5 |
| Bayesian Adversarial Human Motion Synthesis | Jun 1, 2020 | Bayesian InferenceData Augmentation | CodeCode Available | 1 | 5 |
| Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model | Jul 10, 2020 | Bayesian Inference | CodeCode Available | 1 | 5 |
| A Probabilistic State Space Model for Joint Inference from Differential Equations and Data | Mar 18, 2021 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent | Sep 11, 2020 | Bayesian InferenceFederated Learning | CodeCode Available | 1 | 5 |
| ForecastPFN: Synthetically-Trained Zero-Shot Forecasting | Nov 3, 2023 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Conditional score-based diffusion models for Bayesian inference in infinite dimensions | May 28, 2023 | Bayesian InferenceDenoising | CodeCode Available | 1 | 5 |
| A Bit More Bayesian: Domain-Invariant Learning with Uncertainty | May 9, 2021 | Bayesian InferenceDomain Generalization | CodeCode Available | 1 | 5 |
| Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective | Jul 1, 2020 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Bayesian Diffusion Models for 3D Shape Reconstruction | Mar 11, 2024 | 3D Reconstruction3D Shape Reconstruction | CodeCode Available | 1 | 5 |
| Bayesian differential programming for robust systems identification under uncertainty | Apr 15, 2020 | Bayesian InferenceModel Discovery | CodeCode Available | 1 | 5 |
| BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations | Nov 8, 2024 | Bayesian InferenceDecision Making | CodeCode Available | 1 | 5 |
| Amortized Monte Carlo Integration | Jul 18, 2019 | Bayesian Inference | CodeCode Available | 1 | 5 |
| CoS: Enhancing Personalization and Mitigating Bias with Context Steering | May 2, 2024 | Bayesian InferenceLanguage Modelling | CodeCode Available | 1 | 5 |
| Amortizing intractable inference in large language models | Oct 6, 2023 | Bayesian InferenceDiversity | CodeCode Available | 1 | 5 |
| Dangers of Bayesian Model Averaging under Covariate Shift | Jun 22, 2021 | Bayesian Inferencemodel | CodeCode Available | 1 | 5 |
| Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo | Oct 14, 2019 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Bayesian inference for logistic models using Polya-Gamma latent variables | May 2, 2012 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 | 5 |
| Laplacian Autoencoders for Learning Stochastic Representations | Jun 30, 2022 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Learning to Generalize across Domains on Single Test Samples | Feb 16, 2022 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 | 5 |
| Lifelong Incremental Reinforcement Learning with Online Bayesian Inference | Jul 28, 2020 | Bayesian InferenceClustering | CodeCode Available | 1 | 5 |
| Locally Learned Synaptic Dropout for Complete Bayesian Inference | Nov 18, 2021 | Bayesian Inference | CodeCode Available | 1 | 5 |
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| Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance | Nov 18, 2022 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 | 5 |
| OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany | Oct 1, 2020 | Bayesian InferenceEpidemiology | CodeCode Available | 1 | 5 |
| Monte Carlo guided Diffusion for Bayesian linear inverse problems | Aug 15, 2023 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Multi-marginal optimal transport and probabilistic graphical models | Jun 25, 2020 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Online Bayesian Goal Inference for Boundedly-Rational Planning Agents | Jun 13, 2020 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Bayesian Inference with Latent Hamiltonian Neural Networks | Aug 12, 2022 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces | Jun 19, 2021 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation | Mar 14, 2022 | Bayesian InferenceCPU | CodeCode Available | 1 | 5 |
| Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo | Jul 30, 2024 | Bayesian InferenceEfficient Exploration | CodeCode Available | 1 | 5 |
| Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers | Dec 23, 2022 | Bayesian Inferenceregression | CodeCode Available | 1 | 5 |
| Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference | Sep 19, 2022 | Bayesian InferencePhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Understanding and Accelerating Particle-Based Variational Inference | Jul 4, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Validated Variational Inference via Practical Posterior Error Bounds | Oct 9, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning | Feb 27, 2024 | Bayesian InferenceInstruction Following | CodeCode Available | 1 | 5 |
| Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks | Feb 24, 2020 | Bayesian Inference | CodeCode Available | 1 | 5 |
| GAN-based Priors for Quantifying Uncertainty | Mar 27, 2020 | Bayesian InferenceDenoising | CodeCode Available | 1 | 5 |
| A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area | May 12, 2021 | Bayesian InferenceExperimental Design | CodeCode Available | 1 | 5 |
| QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models | Feb 2, 2023 | Bayesian Inferencecompressed sensing | CodeCode Available | 1 | 5 |
| Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks | Nov 2, 2021 | Bayesian InferenceChange Point Detection | CodeCode Available | 1 | 5 |
| Reliable amortized variational inference with physics-based latent distribution correction | Jul 24, 2022 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 | 5 |
| Repulsive Deep Ensembles are Bayesian | Jun 22, 2021 | Bayesian InferenceDiversity | CodeCode Available | 1 | 5 |
| RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting | Jun 10, 2021 | Bayesian InferenceSpatio-Temporal Forecasting | CodeCode Available | 1 | 5 |
| Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning | Feb 6, 2024 | Bayesian InferenceMulti-Task Learning | CodeCode Available | 1 | 5 |
| πVAE: a stochastic process prior for Bayesian deep learning with MCMC | Feb 17, 2020 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 | 5 |
