| A variational inference framework for inverse problems | Mar 10, 2021 | Variational Inference | —Unverified | 0 | 0 |
| A Variational Perspective on Generative Flow Networks | Oct 14, 2022 | Variational Inference | —Unverified | 0 | 0 |
| Balanced Training of Energy-Based Models with Adaptive Flow Sampling | Jun 1, 2023 | Density EstimationVariational Inference | —Unverified | 0 | 0 |
| BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule | Nov 25, 2021 | Neural Architecture SearchVariational Inference | —Unverified | 0 | 0 |
| Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era | Feb 26, 2019 | Gaussian ProcessesState Space Models | —Unverified | 0 | 0 |
| BAR: Bayesian Activity Recognition using variational inference | Nov 8, 2018 | Activity RecognitionBayesian Inference | —Unverified | 0 | 0 |
| BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation | Sep 25, 2019 | DisentanglementVariational Inference | —Unverified | 0 | 0 |
| Batch, match, and patch: low-rank approximations for score-based variational inference | Oct 29, 2024 | Variational Inference | —Unverified | 0 | 0 |
| BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning | Sep 28, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| BayesFormer: Transformer with Uncertainty Estimation | Jun 2, 2022 | Active LearningLanguage Modeling | —Unverified | 0 | 0 |
