| Active Learning in Gaussian Process State Space Model | Jul 30, 2021 | Active Learningmodel | —Unverified | 0 |
| Self-Supervised Inference in State-Space Models | Jul 28, 2021 | Audio DenoisingDenoising | —Unverified | 0 |
| Hida-Matérn Kernel | Jul 15, 2021 | State Space Models | —Unverified | 0 |
| Predictive Control Using Learned State Space Models via Rolling Horizon Evolution | Jun 25, 2021 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 |
| Model-Based Reinforcement Learning via Latent-Space Collocation | Jun 24, 2021 | modelModel-based Reinforcement Learning | CodeCode Available | 1 |
| Basis transform in switched linear system state-space models from input-output data | Jun 21, 2021 | State Space Models | —Unverified | 0 |
| Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective | May 31, 2021 | BIG-bench Machine LearningState Space Models | —Unverified | 0 |
| Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models | May 24, 2021 | parameter estimationState Space Models | —Unverified | 0 |
| Embedding Information onto a Dynamical System | May 22, 2021 | State Space Models | —Unverified | 0 |
| PNLSS Toolbox 1.0 | May 18, 2021 | State Space Models | —Unverified | 0 |
| Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks | May 15, 2021 | speech-recognitionSpeech Recognition | CodeCode Available | 0 |
| Stochastic Recurrent Neural Network for Multistep Time Series Forecasting | Apr 26, 2021 | State Space ModelsTime Series | —Unverified | 0 |
| Viking: Variational Bayesian Variance Tracking | Apr 16, 2021 | State Space ModelsTime Series | —Unverified | 0 |
| Improved Initialization of State-Space Artificial Neural Networks | Mar 26, 2021 | State Space Models | —Unverified | 0 |
| Smoothing-Averse Control: Covertness and Privacy from Smoothers | Mar 23, 2021 | State Space Models | —Unverified | 0 |
| PAC-Bayesian theory for stochastic LTI systems | Mar 23, 2021 | BIG-bench Machine LearningState Space Models | —Unverified | 0 |
| The Level Set Kalman Filter for State Estimation of Continuous-discrete Systems | Mar 20, 2021 | State EstimationState Space Models | CodeCode Available | 0 |
| Lossless compression with state space models using bits back coding | Mar 18, 2021 | State Space ModelsTime Series | CodeCode Available | 0 |
| Online Joint State Inference and Learning of Partially Unknown State-Space Models | Feb 15, 2021 | State Space Models | —Unverified | 0 |
| Differentiable Particle Filtering via Entropy-Regularized Optimal Transport | Feb 15, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Regret-Optimal Filtering for Prediction and Estimation | Jan 25, 2021 | PredictionState Space Models | CodeCode Available | 0 |
| Method for estimating hidden structures determined by unidentifiable state-space models and time-series data based on the Groebner basis | Dec 22, 2020 | State Space ModelsTime Series | —Unverified | 0 |
| At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing | Dec 14, 2020 | modelState Space Models | —Unverified | 0 |
| Variational State and Parameter Estimation | Dec 14, 2020 | parameter estimationState Space Models | —Unverified | 0 |
| Variational System Identification for Nonlinear State-Space Models | Dec 8, 2020 | parameter estimationState Space Models | —Unverified | 0 |
