| Data-driven switching logic design for switched linear systems | Mar 11, 2020 | State Space Models | —Unverified | 0 | 0 |
| A Gaussian process latent force model for joint input-state estimation in linear structural systems | Mar 29, 2019 | Gaussian ProcessesState Estimation | —Unverified | 0 | 0 |
| Predicting crypto-currencies using sparse non-Gaussian state space models | Feb 13, 2018 | State Space ModelsTime Series | —Unverified | 0 | 0 |
| Predictive Control Using Learned State Space Models via Rolling Horizon Evolution | Jun 25, 2021 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 | 0 |
| Preemptive Investment under Uncertainty | May 31, 2016 | State Space Models | —Unverified | 0 | 0 |
| Pretrained Hybrids with MAD Skills | Jun 2, 2024 | MambaNeural Architecture Search | —Unverified | 0 | 0 |
| Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems | Feb 6, 2020 | State Space Models | —Unverified | 0 | 0 |
| PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks | Oct 4, 2024 | State Space Models | —Unverified | 0 | 0 |
| A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems | Oct 31, 2019 | State Space Models | —Unverified | 0 | 0 |
| Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo | Mar 7, 2017 | State Space Models | —Unverified | 0 | 0 |
