| 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 |
