| Interpretable Latent Variables in Deep State Space Models | Mar 3, 2022 | DecoderState Space Models | —Unverified | 0 | 0 |
| Introducing shrinkage in heavy-tailed state space models to predict equity excess returns | Jul 26, 2019 | State Space Models | —Unverified | 0 | 0 |
| Inverse Cubature and Quadrature Kalman filters | Mar 18, 2023 | Numerical IntegrationState Space Models | —Unverified | 0 | 0 |
| Inverse Extended Kalman Filter -- Part I: Fundamentals | Jan 5, 2022 | State Space Models | —Unverified | 0 | 0 |
| Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods | Aug 29, 2024 | State Space Models | —Unverified | 0 | 0 |
| IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction | May 9, 2025 | PredictionState Space Models | —Unverified | 0 | 0 |
| FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework | Nov 16, 2024 | Decision MakingState Space Models | —Unverified | 0 | 0 |
| Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality | Oct 20, 2021 | State Space Models | —Unverified | 0 | 0 |
| FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation | Jun 19, 2025 | Computational EfficiencyDenoising | —Unverified | 0 | 0 |
| KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty | Jun 21, 2024 | Computational EfficiencyMamba | —Unverified | 0 | 0 |
