| Inverse Extended Kalman Filter -- Part I: Fundamentals | Jan 5, 2022 | State Space Models | —Unverified | 0 |
| Linear Variational State-Space Filtering | Jan 4, 2022 | State Space Models | CodeCode Available | 0 |
| Variational-Based Nonlinear Bayesian Filtering with Biased Observations | Dec 29, 2021 | Decision MakingState Estimation | —Unverified | 0 |
| Reactive Message Passing for Scalable Bayesian Inference | Dec 25, 2021 | Bayesian InferenceState Space Models | CodeCode Available | 1 |
| Efficient Estimation of State-Space Mixed-Frequency VARs: A Precision-Based Approach | Dec 21, 2021 | State Space Models | —Unverified | 0 |
| 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 |
| Online Variational Filtering and Parameter Learning | Oct 26, 2021 | State EstimationState Space Models | CodeCode Available | 1 |
| Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality | Oct 20, 2021 | State Space Models | —Unverified | 0 |
| Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty | Oct 16, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models | Oct 10, 2021 | State Space Models | CodeCode Available | 1 |
| RTSNet: Learning to Smooth in Partially Known State-Space Models (Preprint) | Oct 10, 2021 | State Space Models | CodeCode Available | 1 |
| State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting | Oct 1, 2021 | BIG-bench Machine LearningDemand Forecasting | —Unverified | 0 |
| Variational Marginal Particle Filters | Sep 30, 2021 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Non asymptotic estimation lower bounds for LTI state space models with Cramér-Rao and van Trees | Sep 17, 2021 | State Space Models | —Unverified | 0 |
| Blind Identification of State-Space Models in Physical Coordinates | Aug 19, 2021 | Audio Signal ProcessingState Space Models | —Unverified | 0 |
| Representation learning for neural population activity with Neural Data Transformers | Aug 2, 2021 | Representation LearningState Space Models | CodeCode Available | 1 |
