| Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness | Oct 24, 2021 | DecoderDiversity | CodeCode Available | 0 |
| An Empirical Study: Extensive Deep Temporal Point Process | Oct 19, 2021 | Graph structure learningVariational Inference | CodeCode Available | 1 |
| Interpolating between sampling and variational inference with infinite stochastic mixtures | Oct 18, 2021 | Variational Inference | CodeCode Available | 0 |
| VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis | Oct 17, 2021 | DecoderRhythm | —Unverified | 0 |
| Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty | Oct 16, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling | Oct 12, 2021 | modelVariational Inference | CodeCode Available | 0 |
| Is MC Dropout Bayesian? | Oct 8, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Pathologies in priors and inference for Bayesian transformers | Oct 8, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Marginally calibrated response distributions for end-to-end learning in autonomous driving | Oct 3, 2021 | Autonomous DrivingPrediction Intervals | CodeCode Available | 0 |
| Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning | Oct 1, 2021 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Marginal Particle Filters | Sep 30, 2021 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION | Sep 29, 2021 | Decoderimage-classification | —Unverified | 0 |
| Variational Inference via Resolution of Singularities | Sep 29, 2021 | Learning TheoryVariational Inference | —Unverified | 0 |
| Learning From Unpaired Data: A Variational Bayes Approach | Sep 29, 2021 | DenoisingImage Denoising | —Unverified | 0 |
| Variational Component Decoder for Source Extraction from Nonlinear Mixture | Sep 29, 2021 | blind source separationDecoder | —Unverified | 0 |
| EinSteinVI: General and Integrated Stein Variational Inference | Sep 29, 2021 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Tractable Dendritic RNNs for Identifying Unknown Nonlinear Dynamical Systems | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Ensemble as a Gaussian Process Posterior | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| Deep Attentive Variational Inference | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| How to deal with missing data in supervised deep learning? | Sep 29, 2021 | Deep LearningInductive Bias | —Unverified | 0 |
| Function-Space Variational Inference for Deep Bayesian Classification | Sep 29, 2021 | Adversarial RobustnessClassification | —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 |
| iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data | Sep 29, 2021 | Model OptimizationVariational Inference | —Unverified | 0 |
| Neural Variational Dropout Processes | Sep 29, 2021 | Few-Shot LearningImage Inpainting | —Unverified | 0 |
