| Differentiable Causal Discovery Under Latent Interventions | Mar 4, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| Learning Neural Set Functions Under the Optimal Subset Oracle | Mar 3, 2022 | Anomaly DetectionDrug Discovery | CodeCode Available | 1 |
| Bayesian Structure Learning with Generative Flow Networks | Feb 28, 2022 | Variational Inference | CodeCode Available | 1 |
| Variational encoding approach for interpretable assessment of remaining useful life estimation | Feb 23, 2022 | ManagementRemaining Useful Lifetime Estimation | CodeCode Available | 1 |
| Continual Repeated Annealed Flow Transport Monte Carlo | Jan 31, 2022 | Variational Inference | CodeCode Available | 1 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Deep Causal Reasoning for Recommendations | Jan 6, 2022 | Recommendation SystemsVariational Inference | CodeCode Available | 1 |
| Neural Point Process for Learning Spatiotemporal Event Dynamics | Dec 12, 2021 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid | Dec 8, 2021 | Image InpaintingVariational Inference | CodeCode Available | 1 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 |
| EDGE: Explaining Deep Reinforcement Learning Policies | Dec 1, 2021 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 1 |
| Topic Modeling Revisited: A Document Graph-based Neural Network Perspective | Dec 1, 2021 | Variational Inference | CodeCode Available | 1 |
| Spatio-Temporal Variational Gaussian Processes | Nov 2, 2021 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Robust Deep Learning from Crowds with Belief Propagation | Nov 1, 2021 | Deep LearningVariational Inference | CodeCode Available | 1 |
| Discovering Non-monotonic Autoregressive Orderings with Variational Inference | Oct 27, 2021 | DecoderImage Captioning | CodeCode Available | 1 |
| An Empirical Study: Extensive Deep Temporal Point Process | Oct 19, 2021 | Graph structure learningVariational Inference | CodeCode Available | 1 |
| Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty | Oct 16, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 |
| Learning Opinion Summarizers by Selecting Informative Reviews | Sep 9, 2021 | Few-Shot LearningOpinion Summarization | CodeCode Available | 1 |
| Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation | Sep 1, 2021 | Sign Language TranslationTranslation | CodeCode Available | 1 |
| Pathfinder: Parallel quasi-Newton variational inference | Aug 9, 2021 | PathfinderVariational Inference | CodeCode Available | 1 |
| P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening | Aug 9, 2021 | Anomaly DetectionVariational Inference | CodeCode Available | 1 |
| Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference | Aug 1, 2021 | Variational Inference | CodeCode Available | 1 |
| Neural Variational Gradient Descent | Jul 22, 2021 | Bayesian Inferenceregression | CodeCode Available | 1 |
