| Compositional Scene Modeling with Global Object-Centric Representations | Nov 21, 2022 | ObjectPatch Matching | —Unverified | 0 | 0 |
| AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows | Jun 5, 2022 | Density EstimationImage Generation | —Unverified | 0 | 0 |
| Amortized backward variational inference in nonlinear state-space models | Jun 1, 2022 | State EstimationState Space Models | —Unverified | 0 | 0 |
| Gradient-based inference of abstract task representations for generalization in neural networks | Jul 24, 2024 | Language ModellingVariational Inference | —Unverified | 0 | 0 |
| GRADE: Graph Dynamic Embedding | Jul 16, 2020 | Community DetectionDynamic Community Detection | —Unverified | 0 | 0 |
| GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models | Nov 5, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Good Initializations of Variational Bayes for Deep Models | Oct 18, 2018 | Bayesian InferenceGeneral Classification | —Unverified | 0 | 0 |
| Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models | Dec 1, 2012 | Decision MakingDocument Classification | —Unverified | 0 | 0 |
| A universal probabilistic spike count model reveals ongoing modulation of neural variability | Dec 1, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Amortised MAP Inference for Image Super-resolution | Oct 14, 2016 | DenoisingImage Super-Resolution | —Unverified | 0 | 0 |
