| Cross-modal variational inference for bijective signal-symbol translation | Feb 10, 2020 | Audio GenerationDensity Estimation | —Unverified | 0 |
| A Variational Dirichlet Framework for Out-of-Distribution Detection | Nov 18, 2018 | Out-of-Distribution DetectionVariational Inference | —Unverified | 0 |
| Learnable Distribution Calibration for Few-Shot Class-Incremental Learning | Oct 1, 2022 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder | Jul 1, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| An Equivalence between Bayesian Priors and Penalties in Variational Inference | Feb 1, 2020 | Variational Inference | —Unverified | 0 |
| A Factorial Mixture Prior for Compositional Deep Generative Models | Dec 18, 2018 | Variational Inference | —Unverified | 0 |
| Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images | Oct 30, 2023 | Gaussian ProcessesMultiple Instance Learning | —Unverified | 0 |
| Introducing Routing Uncertainty in Capsule Networks | Dec 1, 2020 | ObjectVariational Inference | —Unverified | 0 |
| LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport | Nov 19, 2024 | Variational Inference | —Unverified | 0 |
