I love Machine Learning!
We develop a family of stable continuous-time neural state space-models.
We propose a deep switching state space model that can capture both state-dependent and time-dependent switching patterns in time series data.
Using Gradient Flows to Refine Samples from Deep Generative Models
We present a new method for training GANs via characteristic functions