| 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 |
