| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 | 0 |
| Clustered factor analysis of multineuronal spike data | Dec 1, 2014 | ClusteringVariational 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 |
| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors | Nov 15, 2022 | AnatomyDisentanglement | —Unverified | 0 | 0 |
| Atmospheric Turbulence Correction via Variational Deep Diffusion | May 8, 2023 | Image GenerationVariational Inference | —Unverified | 0 | 0 |
| Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics | Oct 12, 2022 | Variational Inference | —Unverified | 0 | 0 |
| A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes | Oct 13, 2017 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
