Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process

W Li, Y Wang, C Li, A Wu - arXiv preprint arXiv:2407.00397, 2024 - arxiv.org
Gaussian Processes (GPs) and Linear Dynamical Systems (LDSs) are essential time series
and dynamic system modeling tools. GPs can handle complex, nonlinear dynamics but are …

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models

Y Wang, C Li, W Li, A Wu - arXiv preprint arXiv:2410.09614, 2024 - arxiv.org
Understanding the neural basis of behavior is a fundamental goal in neuroscience. Current
research in large-scale neuro-behavioral data analysis often relies on decoding models …