| An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications | Oct 2, 2019 | Variational Inference | —Unverified | 0 | 0 |
| An Introduction to Variational Inference | Aug 30, 2021 | Generative Adversarial NetworkVariational Inference | —Unverified | 0 | 0 |
| Anomaly Detection on Graph Time Series | Aug 9, 2017 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| A Non-negative VAE:the Generalized Gamma Belief Network | Aug 6, 2024 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis | Nov 17, 2014 | Action RecognitionTemporal Action Localization | —Unverified | 0 | 0 |
| A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models | Aug 10, 2018 | EEGElectroencephalogram (EEG) | —Unverified | 0 | 0 |
| Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data | Nov 6, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS | Sep 27, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Particle Algorithm for Mean-Field Variational Inference | Dec 29, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Approximate Bayesian inference as a gauge theory | May 17, 2017 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
