| Neural Dynamic Focused Topic Model | Nov 16, 2021 | modelTopic Models | —Unverified | 0 |
| Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation | Jun 17, 2023 | blind source separationVariational Inference | —Unverified | 0 |
| Neural information field filter | Jul 23, 2024 | parameter estimationVariational Inference | —Unverified | 0 |
| Neural Likelihoods for Multi-Output Gaussian Processes | May 31, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Neural Linear Models with Functional Gaussian Process Priors | Nov 23, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Neural Mixed Counting Models for Dispersed Topic Discovery | Jul 1, 2020 | Variational Inference | —Unverified | 0 |
| Neural Probabilistic Logic Learning for Knowledge Graph Reasoning | Jul 4, 2024 | Knowledge GraphsVariational Inference | —Unverified | 0 |
| Neural Relational Inference with Node-Specific Information | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit | May 23, 2019 | Variational Inference | —Unverified | 0 |
| Neural Structure Learning with Stochastic Differential Equations | Nov 6, 2023 | Variational Inference | —Unverified | 0 |
