| A stable deep adversarial learning approach for geological facies generation | May 12, 2023 | Variational Inference | —Unverified | 0 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 |
| FedHB: Hierarchical Bayesian Federated Learning | May 8, 2023 | AvgFederated Learning | —Unverified | 0 |
| Atmospheric Turbulence Correction via Variational Deep Diffusion | May 8, 2023 | Image GenerationVariational Inference | —Unverified | 0 |
| Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance | May 6, 2023 | Bayesian InferenceState Estimation | —Unverified | 0 |
| Towards Causal Representation Learning and Deconfounding from Indefinite Data | May 4, 2023 | Causal DiscoveryDisentanglement | —Unverified | 0 |
| Tensorizing flows: a tool for variational inference | May 3, 2023 | Tensor NetworksVariational Inference | —Unverified | 0 |
| Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty | May 1, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach | Apr 25, 2023 | Causal InferenceDecision Making | —Unverified | 0 |
| Score-Based Diffusion Models as Principled Priors for Inverse Imaging | Apr 23, 2023 | DeblurringDenoising | CodeCode Available | 1 |
| Machine Learning and the Future of Bayesian Computation | Apr 21, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation | Apr 16, 2023 | NeRFObject | —Unverified | 0 |
| The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges | Apr 14, 2023 | ClusteringModel Selection | —Unverified | 0 |
| Bayesian Inference on Brain-Computer Interfaces via GLASS | Apr 14, 2023 | Bayesian InferenceEEG | CodeCode Available | 0 |
| Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box | Apr 11, 2023 | Probabilistic ProgrammingStochastic Optimization | CodeCode Available | 0 |
| Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space | Apr 10, 2023 | Variational Inference | —Unverified | 0 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting | Mar 28, 2023 | Variational Inference | —Unverified | 0 |
| Variational Distribution Learning for Unsupervised Text-to-Image Generation | Mar 28, 2023 | Image CaptioningImage Generation | —Unverified | 0 |
| Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning | Mar 28, 2023 | Computational EfficiencyRepresentation Learning | CodeCode Available | 0 |
| Variational Inference for Longitudinal Data Using Normalizing Flows | Mar 24, 2023 | ImputationVariational Inference | CodeCode Available | 0 |
| Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators | Mar 19, 2023 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks | Mar 19, 2023 | Bayesian InferenceHyperspectral Unmixing | CodeCode Available | 0 |
| Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference | Mar 18, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Hybrid Variational Autoencoder for Time Series Forecasting | Mar 13, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
