| Atmospheric Turbulence Correction via Variational Deep Diffusion | May 8, 2023 | Image GenerationVariational Inference | —Unverified | 0 |
| Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics | Oct 12, 2022 | Variational Inference | —Unverified | 0 |
| A Closer Look at Disentangling in β-VAE | Dec 11, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Constrained Structure Learning for Scene Graph Generation | Jan 27, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 |
| A theoretical perspective on mode collapse in variational inference | Oct 17, 2024 | Variational Inference | —Unverified | 0 |
| Alpha-Divergences in Variational Dropout | Nov 12, 2017 | Variational Inference | —Unverified | 0 |
| A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition | Apr 25, 2020 | Bayesian InferenceObject | —Unverified | 0 |
| Computing with Categories in Machine Learning | Mar 7, 2023 | Transfer LearningVariational Inference | —Unverified | 0 |
| Concurrent Training and Layer Pruning of Deep Neural Networks | Jun 6, 2024 | Variational Inference | —Unverified | 0 |
| Alpha-Beta Divergence For Variational Inference | May 2, 2018 | Variational Inference | —Unverified | 0 |
