| Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA | Mar 25, 2022 | Dimensionality ReductionVariational Inference | —Unverified | 0 |
| Approximate Inference for Stochastic Planning in Factored Spaces | Mar 23, 2022 | Variational Inference | CodeCode Available | 0 |
| Representation Uncertainty in Self-Supervised Learning as Variational Inference | Mar 22, 2022 | Representation LearningSelf-Supervised Learning | —Unverified | 0 |
| Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference | Mar 18, 2022 | Graph EmbeddingImage Inpainting | —Unverified | 0 |
| Differentiable DAG Sampling | Mar 16, 2022 | validVariational Inference | CodeCode Available | 1 |
| Variational inference of fractional Brownian motion with linear computational complexity | Mar 15, 2022 | Bayesian InferenceGraph Neural Network | —Unverified | 0 |
| Accelerating Stochastic Probabilistic Inference | Mar 15, 2022 | Second-order methodsStochastic Optimization | —Unverified | 0 |
| Modelling Non-Smooth Signals with Complex Spectral Structure | Mar 14, 2022 | Variational Inference | CodeCode Available | 2 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Bayesian Spatial Predictive Synthesis | Mar 10, 2022 | Model SelectionUncertainty Quantification | —Unverified | 0 |
