| GAN priors for Bayesian inference | Sep 14, 2019 | Bayesian InferenceGenerative Adversarial Network | —Unverified | 0 |
| Adversarial α-divergence Minimization for Bayesian Approximate Inference | Sep 13, 2019 | Bayesian Inference | CodeCode Available | 0 |
| Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy | Sep 13, 2019 | AstronomyBayesian Inference | CodeCode Available | 0 |
| Learning Bayesian posteriors with neural networks for gravitational-wave inference | Sep 12, 2019 | AstronomyBayesian Inference | CodeCode Available | 0 |
| Efficient Bayesian synthetic likelihood with whitening transformations | Sep 11, 2019 | Bayesian Inference | —Unverified | 0 |
| Correcting Predictions for Approximate Bayesian Inference | Sep 11, 2019 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| Spike Sorting using the Neural Clustering Process | Sep 11, 2019 | Bayesian InferenceClustering | CodeCode Available | 0 |
| Evaluating Topic Quality with Posterior Variability | Sep 8, 2019 | Bayesian InferenceTopic Models | CodeCode Available | 0 |
| Accelerated Information Gradient flow | Sep 4, 2019 | Bayesian Inference | CodeCode Available | 0 |
| On the Expressiveness of Approximate Inference in Bayesian Neural Networks | Sep 2, 2019 | Active LearningBayesian Inference | CodeCode Available | 0 |
| Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs | Aug 26, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma | Aug 24, 2019 | Bayesian Inference | CodeCode Available | 0 |
| Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing | Aug 19, 2019 | Autonomous VehiclesBayesian Inference | —Unverified | 0 |
| Bayesian posterior repartitioning for nested sampling | Aug 13, 2019 | Bayesian InferenceUnity | CodeCode Available | 0 |
| Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control | Aug 12, 2019 | Autonomous DrivingBayesian Inference | —Unverified | 0 |
| Convergence Rates of Variational Inference in Sparse Deep Learning | Aug 9, 2019 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Bayesian Inference for Large Scale Image Classification | Aug 9, 2019 | Bayesian InferenceClassification | —Unverified | 0 |
| Variational Bayes on Manifolds | Aug 8, 2019 | Bayesian Inference | CodeCode Available | 0 |
| Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm | Aug 6, 2019 | Autonomous NavigationBayesian Inference | —Unverified | 0 |
| Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement | Jul 31, 2019 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI | Jul 27, 2019 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Bayesian Inference with Generative Adversarial Network Priors | Jul 22, 2019 | Bayesian InferenceGenerative Adversarial Network | —Unverified | 0 |
| Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography | Jul 20, 2019 | Bayesian InferenceGPR | CodeCode Available | 0 |
| Subspace Inference for Bayesian Deep Learning | Jul 17, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations | Jul 17, 2019 | Bayesian Inferenceregression | —Unverified | 0 |
| A General Framework for Uncertainty Estimation in Deep Learning | Jul 16, 2019 | Autonomous DrivingBayesian Inference | CodeCode Available | 0 |
| Stochastic gradient Markov chain Monte Carlo | Jul 16, 2019 | Bayesian Inference | CodeCode Available | 0 |
| Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference | Jul 15, 2019 | Bayesian Inferencevalid | —Unverified | 0 |
| Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling | Jul 14, 2019 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale | Jul 8, 2019 | Bayesian InferenceCPU | CodeCode Available | 0 |
| Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data | Jul 8, 2019 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Deep Active Inference as Variational Policy Gradients | Jul 8, 2019 | Bayesian Inferencereinforcement-learning | CodeCode Available | 0 |
| Thompson Sampling on Symmetric α-Stable Bandits | Jul 8, 2019 | Bayesian InferenceDecision Making | —Unverified | 0 |
| Variational Inference MPC for Bayesian Model-based Reinforcement Learning | Jul 8, 2019 | Bayesian InferenceModel-based Reinforcement Learning | —Unverified | 0 |
| Learning in Volatile Environments with the Bayes Factor Surprise | Jul 5, 2019 | Bayesian InferenceReinforcement Learning | —Unverified | 0 |
| Probabilistic CCA with Implicit Distributions | Jul 4, 2019 | Bayesian InferenceMULTI-VIEW LEARNING | —Unverified | 0 |
| Adaptive particle-based approximations of the Gibbs posterior for inverse problems | Jul 2, 2019 | Bayesian Inference | —Unverified | 0 |
| Bandit Learning for Diversified Interactive Recommendation | Jul 1, 2019 | Bayesian InferenceDiversity | —Unverified | 0 |
| Teaching deep neural networks to localize single molecules for super-resolution microscopy | Jun 27, 2019 | Bayesian InferenceSuper-Resolution | CodeCode Available | 0 |
| Parameter Estimation and Uncertainty Quantification for Systems Biology Models | Jun 26, 2019 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Bayesian Inference of Spacecraft Pose using Particle Filtering | Jun 26, 2019 | 3D Pose EstimationBayesian Inference | —Unverified | 0 |
| Probabilistic model predictive safety certification for learning-based control | Jun 25, 2019 | Autonomous DrivingBayesian Inference | —Unverified | 0 |
| Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks | Jun 23, 2019 | Bayesian InferenceRobust Speech Recognition | CodeCode Available | 0 |
| Confidence Calibration for Convolutional Neural Networks Using Structured Dropout | Jun 23, 2019 | Active LearningBayesian Inference | —Unverified | 0 |
| Reweighted Expectation Maximization | Jun 13, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes | Jun 12, 2019 | Activity RecognitionAudio Classification | CodeCode Available | 0 |
| Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective | Jun 12, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables | Jun 11, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models | Jun 10, 2019 | Bayesian InferenceDiscrete Choice Models | —Unverified | 0 |
| DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks | Jun 7, 2019 | Autonomous DrivingBayesian Inference | CodeCode Available | 0 |