| Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation | Mar 14, 2022 | Bayesian InferenceCPU | CodeCode Available | 1 |
| GATSBI: Generative Adversarial Training for Simulation-Based Inference | Mar 12, 2022 | Bayesian Inference | CodeCode Available | 1 |
| Learning to Generalize across Domains on Single Test Samples | Feb 16, 2022 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Fully Adaptive Bayesian Algorithm for Data Analysis, FABADA | Jan 13, 2022 | AstronomyBayesian Inference | CodeCode Available | 1 |
| Reactive Message Passing for Scalable Bayesian Inference | Dec 25, 2021 | Bayesian InferenceState Space Models | CodeCode Available | 1 |
| Transformers Can Do Bayesian Inference | Dec 20, 2021 | AutoMLBayesian Inference | CodeCode Available | 1 |
| Efficient Online Bayesian Inference for Neural Bandits | Dec 1, 2021 | Bayesian InferenceRecommendation Systems | CodeCode Available | 1 |
| Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training | Nov 20, 2021 | Bayesian Inference | CodeCode Available | 1 |
| Locally Learned Synaptic Dropout for Complete Bayesian Inference | Nov 18, 2021 | Bayesian Inference | CodeCode Available | 1 |
| Variational Multi-Task Learning with Gumbel-Softmax Priors | Nov 9, 2021 | Bayesian InferenceMulti-Task Learning | CodeCode Available | 1 |
| Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks | Nov 2, 2021 | Bayesian InferenceChange Point Detection | CodeCode Available | 1 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations | Oct 22, 2021 | Bayesian Inference | CodeCode Available | 1 |
| Pick-and-Mix Information Operators for Probabilistic ODE Solvers | Oct 20, 2021 | Bayesian Inference | CodeCode Available | 1 |
| Unsupervised Source Separation via Bayesian Inference in the Latent Domain | Oct 11, 2021 | Audio Source SeparationBayesian Inference | CodeCode Available | 1 |
| Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference | Aug 6, 2021 | Bayesian InferenceForm | CodeCode Available | 1 |
| Neural Variational Gradient Descent | Jul 22, 2021 | Bayesian Inferenceregression | CodeCode Available | 1 |
| SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks | Jul 12, 2021 | AllBayesian Inference | CodeCode Available | 1 |
| Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework | Jul 7, 2021 | Bayesian Inference | CodeCode Available | 1 |
| Repulsive Deep Ensembles are Bayesian | Jun 22, 2021 | Bayesian InferenceDiversity | CodeCode Available | 1 |
| Dangers of Bayesian Model Averaging under Covariate Shift | Jun 22, 2021 | Bayesian Inferencemodel | CodeCode Available | 1 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces | Jun 19, 2021 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 1 |
| Variational Causal Networks: Approximate Bayesian Inference over Causal Structures | Jun 14, 2021 | Bayesian InferenceCausal Inference | CodeCode Available | 1 |
| Deep Bayesian Unsupervised Lifelong Learning | Jun 13, 2021 | Bayesian InferenceLifelong learning | CodeCode Available | 1 |
| RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting | Jun 10, 2021 | Bayesian InferenceSpatio-Temporal Forecasting | CodeCode Available | 1 |
| Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction | Jun 8, 2021 | Bayesian InferenceDimensionality Reduction | CodeCode Available | 1 |
| Antipodes of Label Differential Privacy: PATE and ALIBI | Jun 7, 2021 | Bayesian InferenceMemorization | CodeCode Available | 1 |
| 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 |
| A Bit More Bayesian: Domain-Invariant Learning with Uncertainty | May 9, 2021 | Bayesian InferenceDomain Generalization | CodeCode Available | 1 |
| Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas | Apr 30, 2021 | 3D ReconstructionBayesian Inference | CodeCode Available | 1 |
| Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging | Apr 26, 2021 | Bayesian Inferenceregression | CodeCode Available | 1 |
| Bayesian graph convolutional neural networks via tempered MCMC | Apr 17, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
| Learning by example: fast reliability-aware seismic imaging with normalizing flows | Apr 13, 2021 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 |
| A Probabilistic State Space Model for Joint Inference from Differential Equations and Data | Mar 18, 2021 | Bayesian Inference | CodeCode Available | 1 |
| Modeling tail risks of inflation using unobserved component quantile regressions | Mar 5, 2021 | Bayesian InferenceData Augmentation | CodeCode Available | 1 |
| Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data | Mar 4, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| A practical tutorial on Variational Bayes | Mar 1, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Trumpets: Injective Flows for Inference and Inverse Problems | Feb 20, 2021 | Bayesian InferenceImage Reconstruction | CodeCode Available | 1 |
| Scalable Bayesian Inverse Reinforcement Learning | Feb 12, 2021 | Bayesian InferenceImitation Learning | CodeCode Available | 1 |
| Variational Inference for Deblending Crowded Starfields | Feb 4, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable | Feb 3, 2021 | 3D ReconstructionBayesian Inference | CodeCode Available | 1 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data | Jan 12, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism | Jan 12, 2021 | Bayesian InferenceBIG-bench Machine Learning | CodeCode Available | 1 |
| Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference | Jan 1, 2021 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Score Matched Neural Exponential Families for Likelihood-Free Inference | Dec 20, 2020 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Spacecraft Collision Risk Assessment with Probabilistic Programming | Dec 18, 2020 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 |
