| Langevin Diffusion Variational Inference | Aug 16, 2022 | Variational Inference | —Unverified | 0 |
| Uncertainty Quantification for Traffic Forecasting: A Unified Approach | Aug 11, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Fully probabilistic deep models for forward and inverse problems in parametric PDEs | Aug 9, 2022 | Variational Inference | —Unverified | 0 |
| Unitary Approximate Message Passing for Matrix Factorization | Jul 31, 2022 | Compressive SensingDictionary Learning | —Unverified | 0 |
| One Simple Trick to Fix Your Bayesian Neural Network | Jul 26, 2022 | Variational Inference | —Unverified | 0 |
| Sliced Wasserstein Variational Inference | Jul 26, 2022 | validVariational Inference | —Unverified | 0 |
| Learning Generalizable Latent Representations for Novel Degradations in Super Resolution | Jul 25, 2022 | Blind Super-ResolutionImage Super-Resolution | —Unverified | 0 |
| Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection | Jul 22, 2022 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows | Jul 17, 2022 | Variational Inference | —Unverified | 0 |
| Mean-field Variational Inference via Wasserstein Gradient Flow | Jul 17, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| The Free Energy Principle for Perception and Action: A Deep Learning Perspective | Jul 13, 2022 | Deep LearningVariational Inference | —Unverified | 0 |
| Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility | Jul 11, 2022 | Face RecognitionFairness | CodeCode Available | 0 |
| Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study | Jul 8, 2022 | Variational Inference | CodeCode Available | 0 |
| Challenges and Pitfalls of Bayesian Unlearning | Jul 7, 2022 | Machine UnlearningVariational Inference | —Unverified | 0 |
| Harnessing Out-Of-Distribution Examples via Augmenting Content and Style | Jul 7, 2022 | Data AugmentationDisentanglement | CodeCode Available | 0 |
| Variational Flow Graphical Model | Jul 6, 2022 | modelRepresentation Learning | —Unverified | 0 |
| Modeling Randomly Walking Volatility with Chained Gamma Distributions | Jul 4, 2022 | State EstimationTime Series Analysis | —Unverified | 0 |
| Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach | Jul 4, 2022 | Variational Inference | CodeCode Available | 0 |
| Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios | Jun 29, 2022 | State Space ModelsTime Series | CodeCode Available | 0 |
| Variational Inference for Additive Main and Multiplicative Interaction Effects Models | Jun 29, 2022 | Decision MakingVariational Inference | —Unverified | 0 |
| Reconstructing the Universe with Variational self-Boosted Sampling | Jun 28, 2022 | Variational Inference | —Unverified | 0 |
| Sum-of-Squares Relaxations for Information Theory and Variational Inference | Jun 27, 2022 | Variational Inference | —Unverified | 0 |
| End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue | Jun 24, 2022 | text-to-speechText to Speech | —Unverified | 0 |
| Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes | Jun 23, 2022 | Point ProcessesVariational Inference | CodeCode Available | 0 |
| Cold Posteriors through PAC-Bayes | Jun 22, 2022 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 |
