The standard Kalman filter cannot handle inequality constraints imposed on the state variables, as state truncation induces a nonlinear and non-Gaussian model. We propose a Rao-Blackwellized particle ...

In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space models with ...