| B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data | Mar 13, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients | Mar 9, 2020 | validVariational Inference | —Unverified | 0 |
| Learning Discrete State Abstractions With Deep Variational Inference | Mar 9, 2020 | Decision MakingMulti-Goal Reinforcement Learning | CodeCode Available | 0 |
| Variational Inference for Deep Probabilistic Canonical Correlation Analysis | Mar 9, 2020 | MULTI-VIEW LEARNINGVariational Inference | —Unverified | 0 |
| Scalable Uncertainty for Computer Vision with Functional Variational Inference | Mar 6, 2020 | Depth EstimationGaussian Processes | —Unverified | 0 |
| Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations | Mar 6, 2020 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 |
| mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoder | Mar 5, 2020 | Variational Inference | CodeCode Available | 1 |
| Automatic Differentiation Variational Inference with Mixtures | Mar 3, 2020 | Variational Inference | —Unverified | 0 |
| Bayesian Neural Networks With Maximum Mean Discrepancy Regularization | Mar 2, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
