| SSDNet: State Space Decomposition Neural Network for Time Series Forecasting | Dec 19, 2021 | Deep LearningState Space Models | CodeCode Available | 0 |
| On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data | Dec 15, 2021 | QuantizationState Estimation | —Unverified | 0 |
| Traversing Time with Multi-Resolution Gaussian Process State-Space Models | Dec 6, 2021 | State Space Models | —Unverified | 0 |
| Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models | Dec 2, 2021 | State Space Models | CodeCode Available | 1 |
| Probabilistic Transformer For Time Series Analysis | Dec 1, 2021 | Human motion predictionmotion prediction | —Unverified | 0 |
| Latent Matters: Learning Deep State-Space Models | Dec 1, 2021 | State Space ModelsVariational Inference | —Unverified | 0 |
| Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters | Nov 2, 2021 | State Space Models | —Unverified | 0 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Likelihood-Free Inference in State-Space Models with Unknown Dynamics | Nov 2, 2021 | State Space Models | CodeCode Available | 0 |
| Explicit Port-Hamiltonian FEM-Models for Linear Mechanical Systems with Non-Uniform Boundary Conditions | Oct 29, 2021 | State Space Models | —Unverified | 0 |
