| AutoBayes: A Compositional Framework for Generalized Variational Inference | Mar 24, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows | Jun 5, 2022 | Density EstimationImage Generation | —Unverified | 0 |
| Amortized backward variational inference in nonlinear state-space models | Jun 1, 2022 | State EstimationState Space Models | —Unverified | 0 |
| A universal probabilistic spike count model reveals ongoing modulation of neural variability | Dec 1, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Amortised MAP Inference for Image Super-resolution | Oct 14, 2016 | DenoisingImage Super-Resolution | —Unverified | 0 |
| CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage | Nov 8, 2021 | Variational Inference | —Unverified | 0 |
| A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization | Jan 30, 2025 | Bayesian OptimizationVariational Inference | —Unverified | 0 |
| Variational inference of fractional Brownian motion with linear computational complexity | Mar 15, 2022 | Bayesian InferenceGraph Neural Network | —Unverified | 0 |
| Clustered factor analysis of multineuronal spike data | Dec 1, 2014 | ClusteringVariational Inference | —Unverified | 0 |
| A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis | Jan 22, 2020 | Computational EfficiencyVariational Inference | —Unverified | 0 |
