| Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs | Nov 26, 2019 | Knowledge GraphsRepresentation Learning | —Unverified | 0 | 0 |
| A Stochastic approximation method for inference in probabilistic graphical models | Dec 1, 2009 | Variational Inference | —Unverified | 0 | 0 |
| A Stochastic Decoder for Neural Machine Translation | May 28, 2018 | DecoderMachine Translation | —Unverified | 0 | 0 |
| A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features | Feb 28, 2016 | Variational InferenceVocal Bursts Type Prediction | —Unverified | 0 | 0 |
| Asynchronous Stochastic Variational Inference | Jan 12, 2018 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| A theoretical perspective on mode collapse in variational inference | Oct 17, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Atmospheric Turbulence Correction via Variational Deep Diffusion | May 8, 2023 | Image GenerationVariational Inference | —Unverified | 0 | 0 |
| AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond | May 16, 2021 | DecoderDisentanglement | —Unverified | 0 | 0 |
| A Trust-Region Method for Graphical Stein Variational Inference | Oct 21, 2024 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| A trust-region method for stochastic variational inference with applications to streaming data | May 28, 2015 | SensitivityVariational Inference | —Unverified | 0 | 0 |
| Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification | Aug 18, 2024 | Classificationimage-classification | —Unverified | 0 | 0 |
| A Tutorial on Deep Latent Variable Models of Natural Language | Dec 17, 2018 | Deep LearningVariational Inference | —Unverified | 0 | 0 |
| A Tutorial on Parametric Variational Inference | Jan 3, 2023 | Variational Inference | —Unverified | 0 | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 | 0 |
| A Tutorial on the Mathematical Model of Single Cell Variational Inference | Jan 3, 2021 | Variational Inference | —Unverified | 0 | 0 |
| A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization | Jan 30, 2025 | Bayesian OptimizationVariational Inference | —Unverified | 0 | 0 |
| A universal probabilistic spike count model reveals ongoing modulation of neural variability | Dec 1, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows | Jun 5, 2022 | Density EstimationImage Generation | —Unverified | 0 | 0 |
| AutoBayes: A Compositional Framework for Generalized Variational Inference | Mar 24, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Automated Variational Inference for Gaussian Process Models | Dec 1, 2014 | Variational Inference | —Unverified | 0 | 0 |
| Automated Variational Inference in Probabilistic Programming | Jan 7, 2013 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 | 0 |
| Automatic Differentiation Variational Inference with Mixtures | Mar 3, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Automatic Relevance Determination For Deep Generative Models | May 28, 2015 | Model SelectionVariational Inference | —Unverified | 0 | 0 |
| Automatic Variational ABC | Jun 28, 2016 | Variational Inference | —Unverified | 0 | 0 |
| Automatic Variational Inference in Stan | Jun 10, 2015 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 | 0 |
