| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation | Jul 18, 2023 | Bayesian Inferencecompressed sensing | CodeCode Available | 1 | 5 |
| Eryn : A multi-purpose sampler for Bayesian inference | Mar 3, 2023 | AstronomyBayesian Inference | CodeCode Available | 1 | 5 |
| Calibrating Transformers via Sparse Gaussian Processes | Mar 4, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models | Apr 22, 2022 | Bayesian InferenceImitation Learning | CodeCode Available | 1 | 5 |
| Flexible Bayesian Nonlinear Model Configuration | Mar 5, 2020 | Bayesian Inferencemodel | CodeCode Available | 1 | 5 |
| A Bayesian algorithm for retrosynthesis | Mar 6, 2020 | Bayesian InferenceCombinatorial Optimization | CodeCode Available | 1 | 5 |
| Antipodes of Label Differential Privacy: PATE and ALIBI | Jun 7, 2021 | Bayesian InferenceMemorization | CodeCode Available | 1 | 5 |
| Torchtree: flexible phylogenetic model development and inference using PyTorch | Jun 26, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Complete parameter inference for GW150914 using deep learning | Aug 7, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Transformers Can Do Bayesian Inference | Dec 20, 2021 | AutoMLBayesian Inference | CodeCode Available | 1 | 5 |
| Transforming Gaussian Processes With Normalizing Flows | Nov 3, 2020 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| Low-rank extended Kalman filtering for online learning of neural networks from streaming data | May 31, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Convolutional Bayesian Kernel Inference for 3D Semantic Mapping | Sep 21, 2022 | Bayesian Inference | CodeCode Available | 1 | 5 |
| Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference | Mar 7, 2022 | Bayesian InferenceDiagnostic | CodeCode Available | 0 | 5 |
| Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data | Jun 20, 2021 | Bayesian Inference | CodeCode Available | 0 | 5 |
| A generative flow for conditional sampling via optimal transport | Jul 9, 2023 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Learning on Distributed Data | Mar 3, 2017 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Differentially Private Federated Variational Inference | Nov 24, 2019 | Bayesian InferenceFederated Learning | CodeCode Available | 0 | 5 |
| Detecting structural perturbations from time series with deep learning | Jun 9, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 0 | 5 |
| Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation | Jun 18, 2015 | Bayesian InferencePosition | CodeCode Available | 0 | 5 |
| Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms | Dec 26, 2019 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference | Sep 30, 2024 | Bayesian InferenceContinual Learning | CodeCode Available | 0 | 5 |
| Deep Neural Networks as Gaussian Processes | Nov 1, 2017 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| A Bayesian Perspective on the Deep Image Prior | Apr 16, 2019 | Bayesian InferenceDenoising | CodeCode Available | 0 | 5 |
| Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems | Apr 5, 2022 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Inference for Exponential Families | Sep 6, 2018 | Bayesian Inference | CodeCode Available | 0 | 5 |
| A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome | Mar 13, 2018 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Deep Active Inference as Variational Policy Gradients | Jul 8, 2019 | Bayesian Inferencereinforcement-learning | CodeCode Available | 0 | 5 |
| deBInfer: Bayesian inference for dynamical models of biological systems in R | Oct 15, 2016 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Deep Bayesian inference for seismic imaging with tasks | Oct 10, 2021 | Bayesian InferenceInductive Bias | CodeCode Available | 0 | 5 |
| A fast asynchronous MCMC sampler for sparse Bayesian inference | Aug 14, 2021 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| A Bayesian Monte Carlo approach for predicting the spread of infectious diseases | Apr 26, 2019 | Bayesian InferenceDisease Prediction | CodeCode Available | 0 | 5 |
| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| Data Subsampling for Bayesian Neural Networks | Oct 17, 2022 | Bayesian InferenceFederated Learning | CodeCode Available | 0 | 5 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 | 5 |
| Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up | May 6, 2024 | Bayesian InferenceHyperparameter Optimization | CodeCode Available | 0 | 5 |
| A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms | Nov 8, 2018 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 | 5 |
| AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling | Dec 1, 2019 | Bayesian InferenceDeblurring | CodeCode Available | 0 | 5 |
| Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference | Oct 1, 2021 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Are Bayesian neural networks intrinsically good at out-of-distribution detection? | Jul 26, 2021 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| A General Framework for Uncertainty Estimation in Deep Learning | Jul 16, 2019 | Autonomous DrivingBayesian Inference | CodeCode Available | 0 | 5 |
| Adversarial robustness of amortized Bayesian inference | May 24, 2023 | Adversarial RobustnessBayesian Inference | CodeCode Available | 0 | 5 |
| Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables | Jun 11, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| COVID-19 detection using chest X-rays: is lung segmentation important for generalization? | Apr 12, 2021 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
| Adversarial α-divergence Minimization for Bayesian Approximate Inference | Sep 13, 2019 | Bayesian Inference | CodeCode Available | 0 | 5 |
