| Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process | Jun 1, 2019 | Document ClassificationGeneral Classification | —Unverified | 0 |
| Hybrid Variational Autoencoder for Time Series Forecasting | Mar 13, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Gaussian Variational State Estimation for Nonlinear State-Space Models | Feb 7, 2020 | State EstimationState Space Models | —Unverified | 0 |
| Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework | Jul 20, 2024 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| Variational Hyper-Encoding Networks | May 18, 2020 | DecoderDensity Estimation | —Unverified | 0 |
| Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing | Jun 9, 2025 | Speaker VerificationVariational Inference | —Unverified | 0 |
| Identifiable Feature Learning for Spatial Data with Nonlinear ICA | Nov 28, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 |
| Distance-Preserving Spatial Representations in Genomic Data | Aug 1, 2024 | Representation LearningTransfer Learning | —Unverified | 0 |
| Informative Priors Improve the Reliability of Multimodal Clinical Data Classification | Nov 17, 2023 | Time SeriesVariational Inference | —Unverified | 0 |
| An Introduction to Variational Inference | Aug 30, 2021 | Generative Adversarial NetworkVariational Inference | —Unverified | 0 |
