| Probabilistic Transformer For Time Series Analysis | Dec 1, 2021 | Human motion predictionmotion prediction | —Unverified | 0 |
| Likelihood-Free Inference in State-Space Models with Unknown Dynamics | Nov 2, 2021 | State Space Models | CodeCode Available | 0 |
| Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters | Nov 2, 2021 | State Space Models | —Unverified | 0 |
| Explicit Port-Hamiltonian FEM-Models for Linear Mechanical Systems with Non-Uniform Boundary Conditions | Oct 29, 2021 | State Space Models | —Unverified | 0 |
| Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality | Oct 20, 2021 | State Space Models | —Unverified | 0 |
| 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 |
| Active Learning in Gaussian Process State Space Model | Jul 30, 2021 | Active Learningmodel | —Unverified | 0 |
