| GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions | Jun 10, 2022 | State Space Models | CodeCode Available | 1 |
| Conditional Simulation Using Diffusion Schrödinger Bridges | Feb 27, 2022 | DeblurringDenoising | CodeCode Available | 1 |
| It's Raw! Audio Generation with State-Space Models | Feb 20, 2022 | Audio GenerationDensity Estimation | CodeCode Available | 1 |
| Reactive Message Passing for Scalable Bayesian Inference | Dec 25, 2021 | Bayesian InferenceState Space Models | CodeCode Available | 1 |
| Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models | Dec 2, 2021 | State Space Models | CodeCode Available | 1 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Online Variational Filtering and Parameter Learning | Oct 26, 2021 | State EstimationState Space Models | 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 |
| RTSNet: Learning to Smooth in Partially Known State-Space Models (Preprint) | Oct 10, 2021 | State Space Models | CodeCode Available | 1 |
| Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models | Oct 10, 2021 | State Space Models | CodeCode Available | 1 |
