| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Towards constraining warm dark matter with stellar streams through neural simulation-based inference | Nov 30, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time | Nov 27, 2020 | AstronomyBayesian Inference | CodeCode Available | 1 |
| Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings | Nov 22, 2020 | Bayesian InferenceObject Recognition | CodeCode Available | 1 |
| Transforming Gaussian Processes With Normalizing Flows | Nov 3, 2020 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Bayesian Deep Learning via Subnetwork Inference | Oct 28, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| 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 |
| TensorBNN: Bayesian Inference for Neural Networks using Tensorflow | Sep 30, 2020 | Bayesian InferenceGPU | CodeCode Available | 1 |
| Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent | Sep 11, 2020 | Bayesian InferenceFederated Learning | CodeCode Available | 1 |
| FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning | Sep 4, 2020 | Bayesian InferenceFederated Learning | CodeCode Available | 1 |
| Complete parameter inference for GW150914 using deep learning | Aug 7, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Lifelong Incremental Reinforcement Learning with Online Bayesian Inference | Jul 28, 2020 | Bayesian InferenceClustering | CodeCode Available | 1 |
| Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification | Jul 20, 2020 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 1 |
| State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes | Jul 12, 2020 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model | Jul 10, 2020 | Bayesian Inference | CodeCode Available | 1 |
| URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks | Jul 8, 2020 | Bayesian InferenceBenchmarking | CodeCode Available | 1 |
| Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective | Jul 1, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Multi-marginal optimal transport and probabilistic graphical models | Jun 25, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Variational Bayesian Monte Carlo with Noisy Likelihoods | Jun 15, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Online Bayesian Goal Inference for Boundedly-Rational Planning Agents | Jun 13, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Probabilistic Autoencoder | Jun 9, 2020 | Bayesian InferenceDenoising | CodeCode Available | 1 |
| Variational Auto-Regressive Gaussian Processes for Continual Learning | Jun 9, 2020 | Bayesian InferenceContinual Learning | CodeCode Available | 1 |
| Bayesian Adversarial Human Motion Synthesis | Jun 1, 2020 | Bayesian InferenceData Augmentation | CodeCode Available | 1 |
| A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches | Apr 15, 2020 | Bayesian InferenceCausal Inference | CodeCode Available | 1 |
| Bayesian differential programming for robust systems identification under uncertainty | Apr 15, 2020 | Bayesian InferenceModel Discovery | CodeCode Available | 1 |
| Supervised Learning with Quantum Measurements | Apr 2, 2020 | Bayesian InferenceGeneral Classification | CodeCode Available | 1 |
| Inferring COVID-19 spreading rates and potential change points for case number forecasts | Apr 2, 2020 | Bayesian Inference | CodeCode Available | 1 |
| GAN-based Priors for Quantifying Uncertainty | Mar 27, 2020 | Bayesian InferenceDenoising | CodeCode Available | 1 |
| Too many cooks: Bayesian inference for coordinating multi-agent collaboration | Mar 26, 2020 | Bayesian Inference | CodeCode Available | 1 |
| BayesFlow: Learning complex stochastic models with invertible neural networks | Mar 13, 2020 | Bayesian InferenceEpidemiology | CodeCode Available | 1 |
| A Bayesian algorithm for retrosynthesis | Mar 6, 2020 | Bayesian InferenceCombinatorial Optimization | CodeCode Available | 1 |
| Flexible Bayesian Nonlinear Model Configuration | Mar 5, 2020 | Bayesian Inferencemodel | CodeCode Available | 1 |
| Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks | Feb 24, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences | Feb 21, 2020 | Atari GamesBayesian Inference | CodeCode Available | 1 |
| πVAE: a stochastic process prior for Bayesian deep learning with MCMC | Feb 17, 2020 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| Projected Stein Variational Gradient Descent | Feb 9, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Domain Adaptation as a Problem of Inference on Graphical Models | Feb 9, 2020 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Variational Item Response Theory: Fast, Accurate, and Expressive | Feb 1, 2020 | Bayesian Inference | CodeCode Available | 1 |
| Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics | Jan 31, 2020 | Bayesian InferencePhysical Simulations | CodeCode Available | 1 |
| Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning | Jan 25, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo | Oct 14, 2019 | Bayesian Inference | CodeCode Available | 1 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Validated Variational Inference via Practical Posterior Error Bounds | Oct 9, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference | Sep 30, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Amortized Monte Carlo Integration | Jul 18, 2019 | Bayesian Inference | CodeCode Available | 1 |
| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning | Feb 11, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| A Simple Baseline for Bayesian Uncertainty in Deep Learning | Feb 7, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Particle Flow Bayes' Rule | Feb 2, 2019 | Bayesian InferenceMeta-Learning | CodeCode Available | 1 |
| Neural Clustering Processes | Dec 28, 2018 | Bayesian InferenceClustering | CodeCode Available | 1 |
