| A universal probabilistic spike count model reveals ongoing modulation of neural variability | Dec 1, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks | Dec 1, 2013 | Link PredictionVariational Inference | —Unverified | 0 |
| Compositional Scene Modeling with Global Object-Centric Representations | Nov 21, 2022 | ObjectPatch Matching | —Unverified | 0 |
| AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows | Jun 5, 2022 | Density EstimationImage Generation | —Unverified | 0 |
| Accelerating Stochastic Probabilistic Inference | Mar 15, 2022 | Second-order methodsStochastic Optimization | —Unverified | 0 |
| Computing with Categories in Machine Learning | Mar 7, 2023 | Transfer LearningVariational Inference | —Unverified | 0 |
| Blind Image Denoising via Dependent Dirichlet Process Tree | Jan 13, 2016 | DenoisingImage Denoising | —Unverified | 0 |
| Amortized Bayesian Meta-Learning | May 1, 2019 | Few-Shot Image ClassificationFew-Shot Learning | —Unverified | 0 |
| A Rule for Gradient Estimator Selection, with an Application to Variational Inference | Nov 5, 2019 | Variational Inference | —Unverified | 0 |
| Blind Channel Estimation for MIMO Systems via Variational Inference | Nov 16, 2021 | Variational Inference | —Unverified | 0 |
