| DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration | Mar 12, 2023 | DenoisingImage Restoration | —Unverified | 0 |
| Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature | Mar 9, 2023 | Active LearningBayesian Inference | CodeCode Available | 0 |
| Variational Inference for Neyman-Scott Processes | Mar 7, 2023 | Point ProcessesVariational Inference | CodeCode Available | 0 |
| Computing with Categories in Machine Learning | Mar 7, 2023 | Transfer LearningVariational Inference | —Unverified | 0 |
| Variational Inference of Structured Line Spectra Exploiting Group-Sparsity | Mar 6, 2023 | Variational Inference | —Unverified | 0 |
| MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information | Mar 5, 2023 | Missing ValuesVariational Inference | CodeCode Available | 0 |
| Particle-based Online Bayesian Sampling | Feb 28, 2023 | Variational Inference | —Unverified | 0 |
| Interactive Segmentation as Gaussian Process Classification | Feb 28, 2023 | Binary ClassificationClassification | CodeCode Available | 1 |
| Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models | Feb 27, 2023 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| U-Statistics for Importance-Weighted Variational Inference | Feb 27, 2023 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS | Feb 24, 2023 | Decodertext-to-speech | CodeCode Available | 2 |
| A Targeted Accuracy Diagnostic for Variational Approximations | Feb 24, 2023 | Computational EfficiencyDiagnostic | CodeCode Available | 0 |
| Streaming data recovery via Bayesian tensor train decomposition | Feb 23, 2023 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems | Feb 22, 2023 | Variational Inference | —Unverified | 0 |
| Energy-Based Test Sample Adaptation for Domain Generalization | Feb 22, 2023 | Domain GeneralizationVariational Inference | CodeCode Available | 1 |
| Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance | Feb 21, 2023 | Variational Inference | CodeCode Available | 1 |
| Improved uncertainty quantification for neural networks with Bayesian last layer | Feb 21, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| Variational Boosted Soft Trees | Feb 21, 2023 | Decision MakingOut-of-Distribution Detection | —Unverified | 0 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 |
| Bayesian Matrix Decomposition and Applications | Feb 18, 2023 | Variational Inference | —Unverified | 0 |
| The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference | Feb 17, 2023 | Variational Inference | CodeCode Available | 0 |
| Piecewise Deterministic Markov Processes for Bayesian Neural Networks | Feb 17, 2023 | Variational Inference | CodeCode Available | 0 |
| GFlowNet-EM for learning compositional latent variable models | Feb 13, 2023 | Variational Inference | CodeCode Available | 1 |
| Variational Bayesian Neural Networks via Resolution of Singularities | Feb 13, 2023 | Learning TheoryVariational Inference | CodeCode Available | 0 |
| Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records | Feb 11, 2023 | Density EstimationPrivacy Preserving | CodeCode Available | 0 |
