| EinSteinVI: General and Integrated Stein Variational Inference | Sep 29, 2021 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Edge Partition Modulated Graph Convolutional Networks | Sep 29, 2021 | RelationVariational Inference | —Unverified | 0 |
| Variational Inference for Continuous-Time Switching Dynamical Systems | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Tractable Dendritic RNNs for Identifying Unknown Nonlinear Dynamical Systems | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Neural Relational Inference with Node-Specific Information | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How | Sep 29, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| Learning From Unpaired Data: A Variational Bayes Approach | Sep 29, 2021 | DenoisingImage Denoising | —Unverified | 0 |
| Deep Ensemble as a Gaussian Process Posterior | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| Variational Inference via Resolution of Singularities | Sep 29, 2021 | Learning TheoryVariational Inference | —Unverified | 0 |
| Deep Attentive Variational Inference | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION | Sep 29, 2021 | Decoderimage-classification | —Unverified | 0 |
| Sparse Gaussian Processes for Stochastic Differential Equations | Sep 27, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Using Soft Labels to Model Uncertainty in Medical Image Segmentation | Sep 26, 2021 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
| Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization | Sep 20, 2021 | Gaussian Processesregression | —Unverified | 0 |
| Variational Disentanglement for Domain Generalization | Sep 13, 2021 | DisentanglementDomain Generalization | —Unverified | 0 |
| Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations | Sep 5, 2021 | NeRFNovel View Synthesis | —Unverified | 0 |
| A Mathematical Walkthrough and Discussion of the Free Energy Principle | Aug 30, 2021 | Bayesian InferencePhilosophy | —Unverified | 0 |
| An Introduction to Variational Inference | Aug 30, 2021 | Generative Adversarial NetworkVariational Inference | —Unverified | 0 |
| Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models | Aug 28, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Modeling Item Response Theory with Stochastic Variational Inference | Aug 26, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Few Shot Activity Recognition Using Variational Inference | Aug 20, 2021 | Action RecognitionActivity Recognition | —Unverified | 0 |
| Variational Inference at Glacier Scale | Aug 16, 2021 | Variational Inference | —Unverified | 0 |
| Regularized Sequential Latent Variable Models with Adversarial Neural Networks | Aug 10, 2021 | Variational Inference | —Unverified | 0 |
| A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities | Aug 5, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 |