| A Tutorial on the Mathematical Model of Single Cell Variational Inference | Jan 3, 2021 | Variational Inference | —Unverified | 0 |
| Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way | Jan 8, 2021 | Model SelectionTensor Decomposition | —Unverified | 0 |
| Connection Discovery using Shared Images by Gaussian Relational Topic Model | Dec 12, 2016 | MarketingVariational Inference | —Unverified | 0 |
| Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification | May 31, 2025 | Variational Inference | —Unverified | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| A Tutorial on Parametric Variational Inference | Jan 3, 2023 | Variational Inference | —Unverified | 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 |
| A Tutorial on Deep Latent Variable Models of Natural Language | Dec 17, 2018 | Deep LearningVariational Inference | —Unverified | 0 |
| Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification | Aug 18, 2024 | Classificationimage-classification | —Unverified | 0 |
| A Mathematical Walkthrough and Discussion of the Free Energy Principle | Aug 30, 2021 | Bayesian InferencePhilosophy | —Unverified | 0 |
| Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification | Aug 1, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 |
| A trust-region method for stochastic variational inference with applications to streaming data | May 28, 2015 | SensitivityVariational Inference | —Unverified | 0 |
| A Trust-Region Method for Graphical Stein Variational Inference | Oct 21, 2024 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| -VAEs : Optimising variational inference by learning data-dependent divergence skew | Jun 2, 2021 | DenoisingVariational Inference | —Unverified | 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 |
| 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 |